From bbd5bc12cf446f09243f609ceb36371a50250e93 Mon Sep 17 00:00:00 2001
From: David Minton <daminton@purdue.edu>
Date: Fri, 2 Jul 2021 12:55:56 -0400
Subject: [PATCH] Updated this branch with the restructured Python module taken
 from the OOPrestructure branch

---
 examples/symba_chambers2013/aescattermovie.py |  116 ++
 examples/symba_clement2018/aescattermovie.py  |  116 ++
 examples/symba_mars_disk/aescattermovie.py    |   26 +-
 python/.DS_Store                              |  Bin 8196 -> 0 bytes
 python/swiftest/.idea/.gitignore              |    3 +
 python/swiftest/README.md                     |    2 +
 python/swiftest/requirements.txt              |   86 +
 python/{swiftestio => swiftest}/setup.py      |    4 +-
 python/swiftest/swiftest/__init__.py          |    2 +
 python/swiftest/swiftest/constants.py         |   15 +
 python/swiftest/swiftest/init_cond.py         |  175 ++
 python/swiftest/swiftest/io.py                | 1192 ++++++++++++
 python/swiftest/swiftest/simulation_class.py  |  148 ++
 python/swiftest/swiftest/tool.py              |   85 +
 .../tests/bin2xr/swiftest/bin2xr_swiftest.py  |    5 +
 .../tests/bin2xr/swiftest/cb.swiftest.in      |    4 +
 .../tests/bin2xr/swiftest/param.swiftest.in   |   31 +
 .../tests/bin2xr/swiftest/pl.swiftest.in      |   29 +
 .../tests/bin2xr/swiftest/tp.swiftest.in      |    4 +
 .../swift2swifter/param.swift.in              |    6 +
 .../swift2swifter/pl.swift.in                 |   28 +
 .../convert_code_type/swift2swifter/swift.in  |    3 +
 .../swift2swifter/swift2swifter.py            |   14 +
 .../swift2swifter/tp.swift.in                 |  201 +++
 .../swift2swiftest/param.swift.in             |    6 +
 .../swift2swiftest/pl.swift.in                |   28 +
 .../convert_code_type/swift2swiftest/swift.in |    3 +
 .../swift2swiftest/swift2swiftest.py          |   14 +
 .../swift2swiftest/tp.swift.in                |  201 +++
 .../swifter2swiftest/param.swifter.in         |   26 +
 .../swifter2swiftest/pl.swifter.in            |   40 +
 .../swifter2swiftest/swifter2swiftest.py      |   14 +
 .../swifter2swiftest/tp.swifter.in            |    4 +
 .../tests/param_readers/param.swift.in        |    6 +
 .../tests/param_readers/param.swifter.in      |   26 +
 .../tests/param_readers/param.swiftest.in     |   29 +
 .../tests/param_readers/param_readers.py      |   24 +
 .../mars-scatter-checkpoint.ipynb             | 1600 -----------------
 .../testreader-checkpoint.ipynb               |    6 -
 python/swiftestio/README.md                   |    1 -
 python/swiftestio/__init__.py                 |    0
 python/swiftestio/swiftestio.py               |  837 ---------
 python/swiftestio/testreader.ipynb            |  163 --
 43 files changed, 2701 insertions(+), 2622 deletions(-)
 create mode 100644 examples/symba_chambers2013/aescattermovie.py
 create mode 100644 examples/symba_clement2018/aescattermovie.py
 delete mode 100644 python/.DS_Store
 create mode 100644 python/swiftest/.idea/.gitignore
 create mode 100644 python/swiftest/README.md
 create mode 100644 python/swiftest/requirements.txt
 rename python/{swiftestio => swiftest}/setup.py (70%)
 create mode 100644 python/swiftest/swiftest/__init__.py
 create mode 100644 python/swiftest/swiftest/constants.py
 create mode 100644 python/swiftest/swiftest/init_cond.py
 create mode 100644 python/swiftest/swiftest/io.py
 create mode 100644 python/swiftest/swiftest/simulation_class.py
 create mode 100644 python/swiftest/swiftest/tool.py
 create mode 100644 python/swiftest/tests/bin2xr/swiftest/bin2xr_swiftest.py
 create mode 100644 python/swiftest/tests/bin2xr/swiftest/cb.swiftest.in
 create mode 100644 python/swiftest/tests/bin2xr/swiftest/param.swiftest.in
 create mode 100644 python/swiftest/tests/bin2xr/swiftest/pl.swiftest.in
 create mode 100644 python/swiftest/tests/bin2xr/swiftest/tp.swiftest.in
 create mode 100644 python/swiftest/tests/convert_code_type/swift2swifter/param.swift.in
 create mode 100644 python/swiftest/tests/convert_code_type/swift2swifter/pl.swift.in
 create mode 100644 python/swiftest/tests/convert_code_type/swift2swifter/swift.in
 create mode 100644 python/swiftest/tests/convert_code_type/swift2swifter/swift2swifter.py
 create mode 100644 python/swiftest/tests/convert_code_type/swift2swifter/tp.swift.in
 create mode 100644 python/swiftest/tests/convert_code_type/swift2swiftest/param.swift.in
 create mode 100644 python/swiftest/tests/convert_code_type/swift2swiftest/pl.swift.in
 create mode 100644 python/swiftest/tests/convert_code_type/swift2swiftest/swift.in
 create mode 100644 python/swiftest/tests/convert_code_type/swift2swiftest/swift2swiftest.py
 create mode 100644 python/swiftest/tests/convert_code_type/swift2swiftest/tp.swift.in
 create mode 100644 python/swiftest/tests/convert_code_type/swifter2swiftest/param.swifter.in
 create mode 100644 python/swiftest/tests/convert_code_type/swifter2swiftest/pl.swifter.in
 create mode 100644 python/swiftest/tests/convert_code_type/swifter2swiftest/swifter2swiftest.py
 create mode 100644 python/swiftest/tests/convert_code_type/swifter2swiftest/tp.swifter.in
 create mode 100644 python/swiftest/tests/param_readers/param.swift.in
 create mode 100644 python/swiftest/tests/param_readers/param.swifter.in
 create mode 100644 python/swiftest/tests/param_readers/param.swiftest.in
 create mode 100644 python/swiftest/tests/param_readers/param_readers.py
 delete mode 100644 python/swiftestio/.ipynb_checkpoints/mars-scatter-checkpoint.ipynb
 delete mode 100644 python/swiftestio/.ipynb_checkpoints/testreader-checkpoint.ipynb
 delete mode 100644 python/swiftestio/README.md
 delete mode 100644 python/swiftestio/__init__.py
 delete mode 100644 python/swiftestio/swiftestio.py
 delete mode 100644 python/swiftestio/testreader.ipynb

diff --git a/examples/symba_chambers2013/aescattermovie.py b/examples/symba_chambers2013/aescattermovie.py
new file mode 100644
index 000000000..37e2e1f5a
--- /dev/null
+++ b/examples/symba_chambers2013/aescattermovie.py
@@ -0,0 +1,116 @@
+import swiftest.io as swio
+import numpy as np
+import matplotlib.pyplot as plt
+from matplotlib import animation
+import matplotlib.colors as mcolors
+
+radscale = 20
+xmin = 1.0
+xmax = 10.0
+ymin = 1e-6
+ymax = 1.0
+
+class AnimatedScatter(object):
+    """An animated scatter plot using matplotlib.animations.FuncAnimation."""
+    def __init__(self, ds, param):
+        #outf = 'aescatter.mp4'
+
+        frame = 0
+        nframes = ds['time'].size
+        self.ds = ds
+        self.param = param
+        self.ds['Mass'] = self.ds['Mass'] / param['GU']
+        self.ds['radmarker'] = self.ds['Radius'].fillna(0)
+        self.ds['radmarker'] = self.ds['radmarker'] / self.ds['radmarker'].max() * radscale
+
+        self.clist = {'Initial conditions' : 'xkcd:faded blue',
+                      'Disruption' : 'xkcd:marigold',
+                      'Supercatastrophic' : 'xkcd:shocking pink',
+                      'Hit and run fragment' : 'xkcd:baby poop green'}
+
+        self.stream = self.data_stream(frame)
+        # Setup the figure and axes...
+        self.fig, self.ax = plt.subplots(figsize=(8,4.5))
+        # Then setup FuncAnimation.
+        self.ani = animation.FuncAnimation(self.fig, self.update, interval=1, frames=nframes,
+                                          init_func=self.setup_plot, blit=True)
+        self.ani.save('aescatter.mp4', fps=60, dpi=300,
+                      extra_args=['-vcodec', 'libx264'])
+        print('Finished writing aescattter.mp4')
+
+    def scatters(self, pl, radmarker, origin):
+        scat = []
+        for key, value in self.clist.items():
+            idx = origin == value
+            s = self.ax.scatter(pl[idx, 0], pl[idx, 1], marker='o', s=radmarker[idx], c=value, alpha=0.25, label=key)
+            scat.append(s)
+        return scat
+
+    def setup_plot(self):
+        # First frame
+        """Initial drawing of the scatter plot."""
+        t, name, Mass, Radius, npl, pl, radmarker, origin = next(self.data_stream(0))
+
+        # set up the figure
+        self.ax = plt.axes(xlim=(xmin, xmax), ylim=(ymin, ymax))
+        self.ax.margins(x=10, y=1)
+        self.ax.set_xlabel('Semi Major Axis (AU)', fontsize='16', labelpad=1)
+        self.ax.set_ylabel('Eccentricity', fontsize='16', labelpad=1)
+        self.ax.set_yscale('log')
+
+        self.title = self.ax.text(0.50, 1.05, "", bbox={'facecolor': 'w', 'alpha': 0.5, 'pad': 5}, transform=self.ax.transAxes,
+                        ha="center")
+
+        self.title.set_text(f'Time = ${t / 24 / 3600:4.1f}$ days with ${npl:f}$ particles')
+        slist = self.scatters(pl, radmarker, origin)
+        self.s0 = slist[0]
+        self.s1 = slist[1]
+        self.s2 = slist[2]
+        self.s3 = slist[3]
+        self.ax.legend(loc='upper right')
+        return self.s0, self.s1, self.s2, self.s3, self.title
+
+    def data_stream(self, frame=0):
+        while True:
+            d = self.ds.isel(time=frame)
+            Radius = d['radmarker'].values
+            Mass = d['Mass'].values
+            a = d['a'].values 
+            e = d['e'].values
+            name = d['id'].values
+            npl = d['npl'].values
+            radmarker = d['radmarker']
+            origin = d['origin_type']
+
+            t = self.ds.coords['time'].values[frame]
+
+            frame += 1
+            yield t, name, Mass, Radius, npl, np.c_[a, e], radmarker, origin
+
+    def update(self,frame):
+        """Update the scatter plot."""
+        t, name, Mass, Radius, npl, pl, radmarker, origin = next(self.data_stream(frame))
+
+        self.title.set_text(f'Time = ${t / 24 / 3600:4.1f}$ days with ${npl:4.0f}$ particles')
+
+        # We need to return the updated artist for FuncAnimation to draw..
+        # Note that it expects a sequence of artists, thus the trailing comma.
+        s = [self.s0, self.s1, self.s2, self.s3]
+        for i, (key, value) in enumerate(self.clist.items()):
+            idx = origin == key
+            s[i].set_sizes(radmarker[idx])
+            s[i].set_offsets(pl[idx,:])
+            s[i].set_facecolor(value)
+
+        self.s0 = s[0]
+        self.s1 = s[1]
+        self.s2 = s[2]
+        self.s3 = s[3]
+        return self.s0, self.s1, self.s2, self.s3, self.title,
+
+
+param = swio.read_swiftest_param("param.in")
+marsdisk = swio.swiftest2xr(param)
+print('Making animation')
+anim = AnimatedScatter(marsdisk,param)
+print('Animation finished')
diff --git a/examples/symba_clement2018/aescattermovie.py b/examples/symba_clement2018/aescattermovie.py
new file mode 100644
index 000000000..37e2e1f5a
--- /dev/null
+++ b/examples/symba_clement2018/aescattermovie.py
@@ -0,0 +1,116 @@
+import swiftest.io as swio
+import numpy as np
+import matplotlib.pyplot as plt
+from matplotlib import animation
+import matplotlib.colors as mcolors
+
+radscale = 20
+xmin = 1.0
+xmax = 10.0
+ymin = 1e-6
+ymax = 1.0
+
+class AnimatedScatter(object):
+    """An animated scatter plot using matplotlib.animations.FuncAnimation."""
+    def __init__(self, ds, param):
+        #outf = 'aescatter.mp4'
+
+        frame = 0
+        nframes = ds['time'].size
+        self.ds = ds
+        self.param = param
+        self.ds['Mass'] = self.ds['Mass'] / param['GU']
+        self.ds['radmarker'] = self.ds['Radius'].fillna(0)
+        self.ds['radmarker'] = self.ds['radmarker'] / self.ds['radmarker'].max() * radscale
+
+        self.clist = {'Initial conditions' : 'xkcd:faded blue',
+                      'Disruption' : 'xkcd:marigold',
+                      'Supercatastrophic' : 'xkcd:shocking pink',
+                      'Hit and run fragment' : 'xkcd:baby poop green'}
+
+        self.stream = self.data_stream(frame)
+        # Setup the figure and axes...
+        self.fig, self.ax = plt.subplots(figsize=(8,4.5))
+        # Then setup FuncAnimation.
+        self.ani = animation.FuncAnimation(self.fig, self.update, interval=1, frames=nframes,
+                                          init_func=self.setup_plot, blit=True)
+        self.ani.save('aescatter.mp4', fps=60, dpi=300,
+                      extra_args=['-vcodec', 'libx264'])
+        print('Finished writing aescattter.mp4')
+
+    def scatters(self, pl, radmarker, origin):
+        scat = []
+        for key, value in self.clist.items():
+            idx = origin == value
+            s = self.ax.scatter(pl[idx, 0], pl[idx, 1], marker='o', s=radmarker[idx], c=value, alpha=0.25, label=key)
+            scat.append(s)
+        return scat
+
+    def setup_plot(self):
+        # First frame
+        """Initial drawing of the scatter plot."""
+        t, name, Mass, Radius, npl, pl, radmarker, origin = next(self.data_stream(0))
+
+        # set up the figure
+        self.ax = plt.axes(xlim=(xmin, xmax), ylim=(ymin, ymax))
+        self.ax.margins(x=10, y=1)
+        self.ax.set_xlabel('Semi Major Axis (AU)', fontsize='16', labelpad=1)
+        self.ax.set_ylabel('Eccentricity', fontsize='16', labelpad=1)
+        self.ax.set_yscale('log')
+
+        self.title = self.ax.text(0.50, 1.05, "", bbox={'facecolor': 'w', 'alpha': 0.5, 'pad': 5}, transform=self.ax.transAxes,
+                        ha="center")
+
+        self.title.set_text(f'Time = ${t / 24 / 3600:4.1f}$ days with ${npl:f}$ particles')
+        slist = self.scatters(pl, radmarker, origin)
+        self.s0 = slist[0]
+        self.s1 = slist[1]
+        self.s2 = slist[2]
+        self.s3 = slist[3]
+        self.ax.legend(loc='upper right')
+        return self.s0, self.s1, self.s2, self.s3, self.title
+
+    def data_stream(self, frame=0):
+        while True:
+            d = self.ds.isel(time=frame)
+            Radius = d['radmarker'].values
+            Mass = d['Mass'].values
+            a = d['a'].values 
+            e = d['e'].values
+            name = d['id'].values
+            npl = d['npl'].values
+            radmarker = d['radmarker']
+            origin = d['origin_type']
+
+            t = self.ds.coords['time'].values[frame]
+
+            frame += 1
+            yield t, name, Mass, Radius, npl, np.c_[a, e], radmarker, origin
+
+    def update(self,frame):
+        """Update the scatter plot."""
+        t, name, Mass, Radius, npl, pl, radmarker, origin = next(self.data_stream(frame))
+
+        self.title.set_text(f'Time = ${t / 24 / 3600:4.1f}$ days with ${npl:4.0f}$ particles')
+
+        # We need to return the updated artist for FuncAnimation to draw..
+        # Note that it expects a sequence of artists, thus the trailing comma.
+        s = [self.s0, self.s1, self.s2, self.s3]
+        for i, (key, value) in enumerate(self.clist.items()):
+            idx = origin == key
+            s[i].set_sizes(radmarker[idx])
+            s[i].set_offsets(pl[idx,:])
+            s[i].set_facecolor(value)
+
+        self.s0 = s[0]
+        self.s1 = s[1]
+        self.s2 = s[2]
+        self.s3 = s[3]
+        return self.s0, self.s1, self.s2, self.s3, self.title,
+
+
+param = swio.read_swiftest_param("param.in")
+marsdisk = swio.swiftest2xr(param)
+print('Making animation')
+anim = AnimatedScatter(marsdisk,param)
+print('Animation finished')
diff --git a/examples/symba_mars_disk/aescattermovie.py b/examples/symba_mars_disk/aescattermovie.py
index b6acb53fb..18d17350e 100644
--- a/examples/symba_mars_disk/aescattermovie.py
+++ b/examples/symba_mars_disk/aescattermovie.py
@@ -1,4 +1,4 @@
-import swiftestio as swio
+import swiftest.io as swio
 import numpy as np
 import matplotlib.pyplot as plt
 from matplotlib import animation
@@ -13,15 +13,15 @@
 
 class AnimatedScatter(object):
     """An animated scatter plot using matplotlib.animations.FuncAnimation."""
-    def __init__(self, ds, config):
+    def __init__(self, ds, param):
         #outf = 'aescatter.mp4'
 
         frame = 0
         nframes = ds['time'].size
         self.ds = ds
-        self.config = config
-        self.ds['mass'] = self.ds['mass'] / config['GU']
-        self.ds['radmarker'] = self.ds['radius'].fillna(0)
+        self.param = param
+        self.ds['Mass'] = self.ds['Mass'] / param['GU']
+        self.ds['radmarker'] = self.ds['Radius'].fillna(0)
         self.ds['radmarker'] = self.ds['radmarker'] / self.ds['radmarker'].max() * radscale
 
         self.clist = {'Initial conditions' : 'xkcd:faded blue',
@@ -50,7 +50,7 @@ def scatters(self, pl, radmarker, origin):
     def setup_plot(self):
         # First frame
         """Initial drawing of the scatter plot."""
-        t, name, mass, radius, npl, pl, radmarker, origin = next(self.data_stream(0))
+        t, name, Mass, Radius, npl, pl, radmarker, origin = next(self.data_stream(0))
 
         # set up the figure
         self.ax = plt.axes(xlim=(xmin, xmax), ylim=(ymin, ymax))
@@ -74,8 +74,8 @@ def setup_plot(self):
     def data_stream(self, frame=0):
         while True:
             d = self.ds.isel(time=frame)
-            radius = d['radmarker'].values
-            mass = d['mass'].values
+            Radius = d['radmarker'].values
+            Mass = d['Mass'].values
             a = d['a'].values / RMars
             e = d['e'].values
             name = d['id'].values
@@ -86,11 +86,11 @@ def data_stream(self, frame=0):
             t = self.ds.coords['time'].values[frame]
 
             frame += 1
-            yield t, name, mass, radius, npl, np.c_[a, e], radmarker, origin
+            yield t, name, Mass, Radius, npl, np.c_[a, e], radmarker, origin
 
     def update(self,frame):
         """Update the scatter plot."""
-        t, name, mass, radius, npl, pl, radmarker, origin = next(self.data_stream(frame))
+        t, name, Mass, Radius, npl, pl, radmarker, origin = next(self.data_stream(frame))
 
         self.title.set_text(f'Time = ${t / 24 / 3600:4.1f}$ days with ${npl:4.0f}$ particles')
 
@@ -110,8 +110,8 @@ def update(self,frame):
         return self.s0, self.s1, self.s2, self.s3, self.title,
 
 
-config = swio.read_swiftest_config("param.in")
-marsdisk = swio.swiftest2xr(config)
+param = swio.read_swiftest_param("param.in")
+marsdisk = swio.swiftest2xr(param)
 print('Making animation')
-anim = AnimatedScatter(marsdisk,config)
+anim = AnimatedScatter(marsdisk,param)
 print('Animation finished')
diff --git a/python/.DS_Store b/python/.DS_Store
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diff --git a/python/swiftest/.idea/.gitignore b/python/swiftest/.idea/.gitignore
new file mode 100644
index 000000000..26d33521a
--- /dev/null
+++ b/python/swiftest/.idea/.gitignore
@@ -0,0 +1,3 @@
+# Default ignored files
+/shelf/
+/workspace.xml
diff --git a/python/swiftest/README.md b/python/swiftest/README.md
new file mode 100644
index 000000000..23ff2d7fc
--- /dev/null
+++ b/python/swiftest/README.md
@@ -0,0 +1,2 @@
+swiftest
+Documentation TBD
diff --git a/python/swiftest/requirements.txt b/python/swiftest/requirements.txt
new file mode 100644
index 000000000..db5d1078b
--- /dev/null
+++ b/python/swiftest/requirements.txt
@@ -0,0 +1,86 @@
+argon2-cffi @ file:///tmp/build/80754af9/argon2-cffi_1613036642480/work
+astropy==4.2.1
+astroquery==0.4.2
+async-generator==1.10
+attrs @ file:///tmp/build/80754af9/attrs_1620827162558/work
+backcall @ file:///home/ktietz/src/ci/backcall_1611930011877/work
+beautifulsoup4==4.9.3
+bleach @ file:///tmp/build/80754af9/bleach_1612211392645/work
+certifi==2021.5.30
+cffi @ file:///tmp/build/80754af9/cffi_1613246939562/work
+chardet==4.0.0
+cryptography==3.4.7
+cycler==0.10.0
+decorator @ file:///tmp/build/80754af9/decorator_1621259047763/work
+defusedxml @ file:///tmp/build/80754af9/defusedxml_1615228127516/work
+entrypoints==0.3
+html5lib==1.1
+idna==2.10
+importlib-metadata==4.5.0
+ipykernel==5.5.5
+ipython @ file:///tmp/build/80754af9/ipython_1617118429768/work
+ipython-genutils @ file:///tmp/build/80754af9/ipython_genutils_1606773439826/work
+ipywidgets @ file:///tmp/build/80754af9/ipywidgets_1610481889018/work
+jedi==0.17.0
+jeepney==0.6.0
+Jinja2 @ file:///tmp/build/80754af9/jinja2_1621238361758/work
+jsonschema @ file:///tmp/build/80754af9/jsonschema_1602607155483/work
+jupyter==1.0.0
+jupyter-client @ file:///tmp/build/80754af9/jupyter_client_1616770841739/work
+jupyter-console @ file:///tmp/build/80754af9/jupyter_console_1616615302928/work
+jupyter-core @ file:///tmp/build/80754af9/jupyter_core_1612213308260/work
+jupyterlab-pygments @ file:///tmp/build/80754af9/jupyterlab_pygments_1601490720602/work
+jupyterlab-widgets @ file:///tmp/build/80754af9/jupyterlab_widgets_1609884341231/work
+keyring==23.0.1
+kiwisolver @ file:///tmp/build/80754af9/kiwisolver_1612282414123/work
+MarkupSafe @ file:///tmp/build/80754af9/markupsafe_1621528142364/work
+matplotlib==3.4.2
+mistune @ file:///tmp/build/80754af9/mistune_1594373098390/work
+mkl-random @ file:///tmp/build/80754af9/mkl_random_1618853974840/work
+mkl-service==2.3.0
+nbclient @ file:///tmp/build/80754af9/nbclient_1614364831625/work
+nbconvert @ file:///tmp/build/80754af9/nbconvert_1601914821128/work
+nbformat @ file:///tmp/build/80754af9/nbformat_1617383369282/work
+nest-asyncio @ file:///tmp/build/80754af9/nest-asyncio_1613680548246/work
+notebook @ file:///tmp/build/80754af9/notebook_1621523661196/work
+numpy==1.20.3
+olefile==0.46
+packaging @ file:///tmp/build/80754af9/packaging_1611952188834/work
+pandas==1.2.4
+pandocfilters @ file:///tmp/build/80754af9/pandocfilters_1605120451932/work
+parso @ file:///tmp/build/80754af9/parso_1617223946239/work
+pexpect @ file:///tmp/build/80754af9/pexpect_1605563209008/work
+pickleshare @ file:///tmp/build/80754af9/pickleshare_1606932040724/work
+Pillow @ file:///tmp/build/80754af9/pillow_1617386154241/work
+prometheus-client @ file:///tmp/build/80754af9/prometheus_client_1623189609245/work
+prompt-toolkit @ file:///tmp/build/80754af9/prompt-toolkit_1616415428029/work
+ptyprocess @ file:///tmp/build/80754af9/ptyprocess_1609355006118/work/dist/ptyprocess-0.7.0-py2.py3-none-any.whl
+pycparser @ file:///tmp/build/80754af9/pycparser_1594388511720/work
+pyerfa==2.0.0
+Pygments @ file:///tmp/build/80754af9/pygments_1621606182707/work
+pyparsing @ file:///home/linux1/recipes/ci/pyparsing_1610983426697/work
+pyrsistent @ file:///tmp/build/80754af9/pyrsistent_1600141707582/work
+pySLALIB==1.0.4
+python-dateutil @ file:///home/ktietz/src/ci/python-dateutil_1611928101742/work
+pytz @ file:///tmp/build/80754af9/pytz_1612215392582/work
+pyvo==1.1
+pyzmq==20.0.0
+qtconsole @ file:///tmp/build/80754af9/qtconsole_1623278325812/work
+QtPy==1.9.0
+requests==2.25.1
+scipy==1.6.3
+Send2Trash @ file:///tmp/build/80754af9/send2trash_1607525499227/work
+six @ file:///tmp/build/80754af9/six_1623709665295/work
+soupsieve==2.2.1
+-e git+https://github.itap.purdue.edu/MintonGroup/swiftest.git@19f9e7d0b735f38b5b2e0f5d21fe9b4fb2b79838#egg=swiftest&subdirectory=python/swiftest
+terminado==0.9.4
+testpath @ file:///home/ktietz/src/ci/testpath_1611930608132/work
+tornado @ file:///tmp/build/80754af9/tornado_1606942283357/work
+traitlets @ file:///home/ktietz/src/ci/traitlets_1611929699868/work
+typing-extensions==3.10.0.0
+urllib3==1.26.5
+wcwidth @ file:///tmp/build/80754af9/wcwidth_1593447189090/work
+webencodings==0.5.1
+widgetsnbextension==3.5.1
+xarray==0.18.2
+zipp @ file:///tmp/build/80754af9/zipp_1615904174917/work
diff --git a/python/swiftestio/setup.py b/python/swiftest/setup.py
similarity index 70%
rename from python/swiftestio/setup.py
rename to python/swiftest/setup.py
index 0d6cf487c..2d0e35f2d 100644
--- a/python/swiftestio/setup.py
+++ b/python/swiftest/setup.py
@@ -1,6 +1,6 @@
 from setuptools import setup, find_packages
 
-setup(name='swiftestio',
-      version='0.1',
+setup(name='swiftest',
+      version='0.2',
       author='David A. Minton',
       packages=find_packages())
\ No newline at end of file
diff --git a/python/swiftest/swiftest/__init__.py b/python/swiftest/swiftest/__init__.py
new file mode 100644
index 000000000..61f0a6c2a
--- /dev/null
+++ b/python/swiftest/swiftest/__init__.py
@@ -0,0 +1,2 @@
+from swiftest.constants import *
+from swiftest.simulation_class import Simulation
\ No newline at end of file
diff --git a/python/swiftest/swiftest/constants.py b/python/swiftest/swiftest/constants.py
new file mode 100644
index 000000000..7b031b4b7
--- /dev/null
+++ b/python/swiftest/swiftest/constants.py
@@ -0,0 +1,15 @@
+import numpy as np
+import astropy.constants as const
+
+# Constants in SI units
+GC = np.longdouble(const.G.value)
+AU2M = np.longdouble(const.au.value)
+GMSunSI = np.longdouble(const.GM_sun.value)
+MSun = np.longdouble(const.M_sun.value)
+RSun = np.longdouble(const.R_sun.value)
+JD2S = 86400
+YR2S = np.longdouble(365.25 * JD2S)
+einsteinC = np.longdouble(299792458.0)
+# Solar oblatenes values: From Mecheri et al. (2004), using Corbard (b) 2002 values (Table II)
+J2Sun = np.longdouble(2.198e-7)
+J4Sun = np.longdouble(-4.805e-9)
diff --git a/python/swiftest/swiftest/init_cond.py b/python/swiftest/swiftest/init_cond.py
new file mode 100644
index 000000000..d54fb1162
--- /dev/null
+++ b/python/swiftest/swiftest/init_cond.py
@@ -0,0 +1,175 @@
+import swiftest
+import numpy as np
+from astroquery.jplhorizons import Horizons
+import datetime
+import xarray as xr
+
+def solar_system_pl(param, ephemerides_start_date):
+    """
+    Initializes a Swiftest dataset containing the major planets of the Solar System at a particular data from JPL/Horizons
+
+    Parameters
+    ----------
+    param : dict
+        Swiftest paramuration parameters. This method uses the unit conversion factors to convert from JPL's AU-day system into the system specified in the param file
+    ephemerides_start_date : string
+        Date to use when obtaining the ephemerides in the format YYYY-MM-DD
+
+    Returns
+    -------
+    xarray dataset
+    """
+    # Planet ids
+    planetid = {
+        'mercury': '1',
+        'venus': '2',
+        'earthmoon': '3',
+        'mars': '4',
+        'jupiter': '5',
+        'saturn': '6',
+        'uranus': '7',
+        'neptune': '8',
+        'plutocharon': '9'
+    }
+    
+    # Planet MSun/M ratio
+    MSun_over_Mpl = {
+        'mercury': np.longdouble(6023600.0),
+        'venus': np.longdouble(408523.71),
+        'earthmoon': np.longdouble(328900.56),
+        'mars': np.longdouble(3098708.),
+        'jupiter': np.longdouble(1047.3486),
+        'saturn': np.longdouble(3497.898),
+        'uranus': np.longdouble(22902.98),
+        'neptune': np.longdouble(19412.24),
+        'plutocharon': np.longdouble(1.35e8)
+    }
+    
+    # Planet radii in AU
+    planetradius = {
+        'mercury': np.longdouble(2439.4e3) / swiftest.AU2M,
+        'venus': np.longdouble(6051.8e3) / swiftest.AU2M,
+        'earthmoon': np.longdouble(6371.0084e3) / swiftest.AU2M,  # Earth only for radius
+        'mars': np.longdouble(3389.50e3) / swiftest.AU2M,
+        'jupiter': np.longdouble(69911e3) / swiftest.AU2M,
+        'saturn': np.longdouble(58232.0e3) / swiftest.AU2M,
+        'uranus': np.longdouble(25362.e3) / swiftest.AU2M,
+        'neptune': np.longdouble(24622.e3) / swiftest.AU2M,
+        'plutocharon': np.longdouble(1188.3e3 / swiftest.AU2M)
+    }
+    
+    # Unit conversion factors
+    DCONV = swiftest.AU2M / param['DU2M']
+    VCONV = (swiftest.AU2M / swiftest.JD2S) / (param['DU2M'] / param['TU2S'])
+    THIRDLONG = np.longdouble(1.0) / np.longdouble(3.0)
+    
+    # Central body value vectors
+    GMcb = np.array([swiftest.GMSunSI * param['TU2S'] ** 2 / param['DU2M'] ** 3])
+    Rcb = np.array([swiftest.RSun / param['DU2M']])
+    J2RP2 = np.array([swiftest.J2Sun * (swiftest.RSun / param['DU2M']) ** 2])
+    J4RP4 = np.array([swiftest.J4Sun * (swiftest.RSun / param['DU2M']) ** 4])
+    cbid = np.array([0])
+    cvec = np.vstack([GMcb, Rcb, J2RP2, J4RP4])
+    
+    # Horizons date time internal variables
+    tstart = datetime.date.fromisoformat(ephemerides_start_date)
+    tstep = datetime.timedelta(days=1)
+    tend = tstart + tstep
+    ephemerides_end_date = tend.isoformat()
+    ephemerides_step = '1d'
+    
+    pldata = {}
+    p1 = []
+    p2 = []
+    p3 = []
+    p4 = []
+    p5 = []
+    p6 = []
+    p7 = []
+    p8 = []
+    p9 = []
+    p10 = []
+    p11 = []
+    p12 = []
+    Rhill = []
+    Rpl = []
+    GMpl = []
+    
+    # Fetch solar system ephemerides from Horizons
+    for key, val in planetid.items():
+        pldata[key] = Horizons(id=val, id_type='majorbody', location='@sun',
+                               epochs={'start': ephemerides_start_date, 'stop': ephemerides_end_date,
+                                       'step': ephemerides_step})
+        if param['OUT_FORM'] == 'XV':
+            p1.append(pldata[key].vectors()['x'][0] * DCONV)
+            p2.append(pldata[key].vectors()['y'][0] * DCONV)
+            p3.append(pldata[key].vectors()['z'][0] * DCONV)
+            p4.append(pldata[key].vectors()['vx'][0] * VCONV)
+            p5.append(pldata[key].vectors()['vy'][0] * VCONV)
+            p6.append(pldata[key].vectors()['vz'][0] * VCONV)
+            p7.append(pldata[key].elements()['a'][0] * DCONV)
+            p8.append(pldata[key].elements()['e'][0])
+            p9.append(pldata[key].elements()['incl'][0] * np.pi / 180.0)
+            p10.append(pldata[key].elements()['Omega'][0] * np.pi / 180.0)
+            p11.append(pldata[key].elements()['w'][0] * np.pi / 180.0)
+            p12.append(pldata[key].elements()['M'][0] * np.pi / 180.0)
+        elif param['OUT_FORM'] == 'EL':
+            p1.append(pldata[key].elements()['a'][0] * DCONV)
+            p2.append(pldata[key].elements()['e'][0])
+            p3.append(pldata[key].elements()['incl'][0] * np.pi / 180.0)
+            p4.append(pldata[key].elements()['Omega'][0] * np.pi / 180.0)
+            p5.append(pldata[key].elements()['w'][0] * np.pi / 180.0)
+            p6.append(pldata[key].elements()['M'][0] * np.pi / 180.0)
+            p7.append(pldata[key].vectors()['x'][0] * DCONV)
+            p8.append(pldata[key].vectors()['y'][0] * DCONV)
+            p9.append(pldata[key].vectors()['z'][0] * DCONV)
+            p10.append(pldata[key].vectors()['vx'][0] * VCONV)
+            p11.append(pldata[key].vectors()['vy'][0] * VCONV)
+            p12.append(pldata[key].vectors()['vz'][0] * VCONV)
+        Rhill.append(pldata[key].elements()['a'][0] * (3 * MSun_over_Mpl[key]) ** (-THIRDLONG))
+        Rpl.append(planetradius[key] * DCONV)
+        GMpl.append(GMcb[0] / MSun_over_Mpl[key])
+    # Generate planet value vectors
+    plid = np.fromiter(planetid.values(), dtype=int)
+    pvec = np.vstack([p1, p2, p3, p4, p5, p6, GMpl, Rpl, p7, p8, p9, p10, p11, p12, Rhill])
+    
+    dims = ['time', 'id', 'vec']
+    cb = []
+    pl = []
+    t = np.array([0.0])
+    
+    clab, plab, tlab = swiftest.io.make_swiftest_labels(param)
+    if param['OUT_FORM'] == 'XV':
+        plab.append('a')
+        plab.append('e')
+        plab.append('inc')
+        plab.append('capom')
+        plab.append('omega')
+        plab.append('capm')
+    elif param['OUT_FORM'] == 'EL':
+        plab.append('px')
+        plab.append('py')
+        plab.append('pz')
+        plab.append('vx')
+        plab.append('vy')
+        plab.append('vz')
+    plab.append('Rhill')
+    
+    # Prepare frames by adding an extra axis for the time coordinate
+    cbframe = np.expand_dims(cvec.T, axis=0)
+    plframe = np.expand_dims(pvec.T, axis=0)
+    
+    # Create xarray DataArrays out of each body type
+    cbxr = xr.DataArray(cbframe, dims=dims, coords={'time': t, 'id': cbid, 'vec': clab})
+    plxr = xr.DataArray(plframe, dims=dims, coords={'time': t, 'id': plid, 'vec': plab})
+    
+    cb.append(cbxr)
+    pl.append(plxr)
+    
+    cbda = xr.concat(cb, dim='time')
+    plda = xr.concat(pl, dim='time')
+    
+    cbds = cbda.to_dataset(dim='vec')
+    plds = plda.to_dataset(dim='vec')
+    ds = xr.combine_by_coords([cbds, plds])
+    return ds
\ No newline at end of file
diff --git a/python/swiftest/swiftest/io.py b/python/swiftest/swiftest/io.py
new file mode 100644
index 000000000..dfde9d5c0
--- /dev/null
+++ b/python/swiftest/swiftest/io.py
@@ -0,0 +1,1192 @@
+import swiftest
+import numpy as np
+from scipy.io import FortranFile
+import xarray as xr
+import sys
+import tempfile
+
+def real2float(realstr):
+    """
+    Converts a Fortran-generated ASCII string of a real value into a numpy float type. Handles cases where double precision
+    numbers in exponential notation use 'd' or 'D' instead of 'e' or 'E'
+    
+    Parameters
+    ----------
+    realstr : string
+        Fortran-generated ASCII string of a real value.
+
+    Returns
+    -------
+     : float
+        The converted floating point value of the input string
+    """
+    return float(realstr.replace('d', 'E').replace('D', 'E'))
+
+def read_swiftest_param(param_file_name):
+    """
+    Reads in a Swiftest param.in file and saves it as a dictionary
+
+    Parameters
+    ----------
+    param_file_name : string
+        File name of the input parameter file
+
+    Returns
+    -------
+    param : dict
+        A dictionary containing the entries in the user parameter file
+    """
+    param = {
+        '! VERSION': f"Swiftest parameter input from file {param_file_name}",
+        'T0': "0.0",
+        'TSTOP': "0.0",
+        'DT': "0.0",
+        'PL_IN': "",
+        'TP_IN': "",
+        'CB_IN': "",
+        'IN_TYPE': "ASCII",
+        'BIN_OUT': "bin.dat",
+        'PARTICLE_FILE': "",
+        'ISTEP_OUT': "-1",
+        'ISTEP_DUMP': "-1",
+        'OUT_TYPE': 'REAL8',
+        'OUT_FORM': "XV",
+        'OUT_STAT': "NEW",
+        'J2': "0.0",
+        'J4': "0.0",
+        'CHK_RMIN': "-1.0",
+        'CHK_RMAX': "-1.0",
+        'CHK_EJECT': "-1.0",
+        'CHK_QMIN': "-1.0",
+        'CHK_QMIN_COORD': "HELIO",
+        'CHK_QMIN_RANGE': "",
+        'ENC_OUT': "",
+        'MTINY': "-1.0",
+        'MU2KG': "-1.0",
+        'TU2S': "-1.0",
+        'DU2M': "-1.0",
+        'GU': "-1.0",
+        'EXTRA_FORCE': "NO",
+        'BIG_DISCARD': "NO",
+        'CHK_CLOSE': "NO",
+        'FRAGMENTATION': "NO",
+        'ROTATION': "NO",
+        'TIDES': "NO",
+        'ENERGY': "NO",
+        'GR': "NO",
+        'YARKOVSKY': "NO",
+        'YORP': "NO",
+    }
+    
+    # Read param.in file
+    print(f'Reading Swiftest file {param_file_name}')
+    try:
+        with open(param_file_name, 'r') as f:
+            for line in f.readlines():
+                fields = line.split()
+                if len(fields) > 0:
+                    for key in param:
+                        if (key == fields[0].upper()): param[key] = fields[1]
+                    # Special case of CHK_QMIN_RANGE requires a second input
+                    if fields[0].upper() == 'CHK_QMIN_RANGE':
+                        alo = real2float(fields[1])
+                        ahi = real2float(fields[2])
+                        param['CHK_QMIN_RANGE'] = f"{alo} {ahi}"
+        
+        param['ISTEP_OUT'] = int(param['ISTEP_OUT'])
+        param['ISTEP_DUMP'] = int(param['ISTEP_DUMP'])
+        param['T0'] = real2float(param['T0'])
+        param['TSTOP'] = real2float(param['TSTOP'])
+        param['DT'] = real2float(param['DT'])
+        param['J2'] = real2float(param['J2'])
+        param['J4'] = real2float(param['J4'])
+        param['CHK_RMIN'] = real2float(param['CHK_RMIN'])
+        param['CHK_RMAX'] = real2float(param['CHK_RMAX'])
+        param['CHK_EJECT'] = real2float(param['CHK_EJECT'])
+        param['CHK_QMIN'] = real2float(param['CHK_QMIN'])
+        param['MTINY'] = real2float(param['MTINY'])
+        param['DU2M'] = real2float(param['DU2M'])
+        param['MU2KG'] = real2float(param['MU2KG'])
+        param['TU2S'] = real2float(param['TU2S'])
+        param['EXTRA_FORCE'] = param['EXTRA_FORCE'].upper()
+        param['BIG_DISCARD'] = param['BIG_DISCARD'].upper()
+        param['CHK_CLOSE'] = param['CHK_CLOSE'].upper()
+        param['FRAGMENTATION'] = param['FRAGMENTATION'].upper()
+        param['ROTATION'] = param['ROTATION'].upper()
+        param['TIDES'] = param['TIDES'].upper()
+        param['ENERGY'] = param['ENERGY'].upper()
+        param['GR'] = param['GR'].upper()
+        param['YORP'] = param['YORP'].upper()
+        param['GU'] = swiftest.GC / (param['DU2M'] ** 3 / (param['MU2KG'] * param['TU2S'] ** 2))
+    except IOError:
+        print(f"{param_file_name} not found.")
+    return param
+
+def read_swifter_param(param_file_name):
+    """
+    Reads in a Swifter param.in file and saves it as a dictionary
+
+    Parameters
+    ----------
+    param_file_name : string
+        File name of the input parameter file
+
+    Returns
+    -------
+    param
+        A dictionary containing the entries in the user parameter file
+    """
+    param = {
+        '! VERSION': f"Swifter parameter input from file {param_file_name}",
+        'T0': "0.0",
+        'TSTOP': "0.0",
+        'DT': "0.0",
+        'PL_IN': "",
+        'TP_IN': "",
+        'IN_TYPE': "ASCII",
+        'ISTEP_OUT': "-1",
+        'ISTEP_DUMP': "-1",
+        'BIN_OUT': "bin.dat",
+        'OUT_TYPE': "REAL8",
+        'OUT_FORM': "XV",
+        'OUT_STAT': "NEW",
+        'J2': "0.0",
+        'J4': "0.0",
+        'CHK_CLOSE': 'NO',
+        'CHK_RMIN': "-1.0",
+        'CHK_RMAX': "-1.0",
+        'CHK_EJECT': "-1.0",
+        'CHK_QMIN': "-1.0",
+        'CHK_QMIN_COORD': "HELIO",
+        'CHK_QMIN_RANGE': "",
+        'ENC_OUT': "",
+        'EXTRA_FORCE': 'NO',
+        'BIG_DISCARD': 'NO',
+        'RHILL_PRESENT': 'NO',
+        'C': "-1.0",
+    }
+    
+    # Read param.in file
+    print(f'Reading Swifter file {param_file_name}')
+    try:
+        with open(param_file_name, 'r') as f:
+            for line in f.readlines():
+                fields = line.split()
+                if len(fields) > 0:
+                    for key in param:
+                        if (key == fields[0].upper()): param[key] = fields[1]
+                    # Special case of CHK_QMIN_RANGE requires a second input
+                    if fields[0].upper() == 'CHK_QMIN_RANGE':
+                        alo = real2float(fields[1])
+                        ahi = real2float(fields[2])
+                        param['CHK_QMIN_RANGE'] = f"{alo} {ahi}"
+    
+        param['ISTEP_OUT'] = int(param['ISTEP_OUT'])
+        param['ISTEP_DUMP'] = int(param['ISTEP_DUMP'])
+        param['T0'] = real2float(param['T0'])
+        param['TSTOP'] = real2float(param['TSTOP'])
+        param['DT'] = real2float(param['DT'])
+        param['J2'] = real2float(param['J2'])
+        param['J4'] = real2float(param['J4'])
+        param['CHK_RMIN'] = real2float(param['CHK_RMIN'])
+        param['CHK_RMAX'] = real2float(param['CHK_RMAX'])
+        param['CHK_EJECT'] = real2float(param['CHK_EJECT'])
+        param['CHK_QMIN'] = real2float(param['CHK_QMIN'])
+        param['EXTRA_FORCE'] = param['EXTRA_FORCE'].upper()
+        param['BIG_DISCARD'] = param['BIG_DISCARD'].upper()
+        param['CHK_CLOSE'] = param['CHK_CLOSE'].upper()
+        param['RHILL_PRESENT'] = param['RHILL_PRESENT'].upper()
+        if param['C'] != '-1.0':
+            param['C'] = real2float(param['C'])
+        else:
+            param.pop('C', None)
+    except IOError:
+        print(f"{param_file_name} not found.")
+
+    return param
+
+def read_swift_param(param_file_name, startfile="swift.in"):
+    """
+    Reads in a Swift param.in file and saves it as a dictionary
+
+    Parameters
+    ----------
+    param_file_name : string
+        File name of the input parameter file
+
+    Returns
+    -------
+    param : dict
+        A dictionary containing the entries in the user parameter file
+    """
+    param = {
+        '! VERSION': f"Swift parameter input from file {param_file_name}",
+        'T0': 0.0,
+        'TSTOP': 0.0,
+        'DT': 0.0,
+        'DTOUT': 0.0,
+        'DTDUMP': 0.0,
+        'L1': "F",
+        'L1': "F",
+        'L2': "F",
+        'L3': "F",
+        'L4': "F",
+        'L5': "F",
+        'L6': "F",
+        'RMIN': -1,
+        'RMAX': -1,
+        'RMAXU': -1,
+        'QMIN': -1,
+        'LCLOSE': "F",
+        'BINARY_OUTPUTFILE': "bin.dat",
+        'STATUS_FLAG_FOR_OPEN_STATEMENTS': "NEW",
+    }
+    
+    try:
+        with open(startfile, 'r') as f:
+            line = f.readline()
+            plname = f.readline().split()[0]
+            tpname = f.readline().split()[0]
+    except:
+        plname = "pl.in"
+        tpname = "tp.in"
+    param['PL_IN'] = plname
+    param['TP_IN'] = tpname
+
+    # Read param.in file
+    print(f'Reading Swift file {param_file_name}')
+    try:
+        with open(param_file_name, 'r') as f:
+            line = f.readline().split()
+            for i, l in enumerate(line):
+                line[i] = l
+            param['T0'] = real2float(line[0])
+            param['TSTOP'] = real2float(line[1])
+            param['DT'] = real2float(line[2])
+            line = f.readline().split()
+            for i, l in enumerate(line):
+                line[i] = l
+            param['DTOUT'] = real2float(line[0])
+            param['DTDUMP'] = real2float(line[1])
+            line = f.readline().split()
+            param['L1'] = line[0].upper()
+            param['L2'] = line[1].upper()
+            param['L3'] = line[2].upper()
+            param['L4'] = line[3].upper()
+            param['L5'] = line[4].upper()
+            param['L6'] = line[5].upper()
+            if param['L2'] == "T":
+                line = f.readline().split()
+                for i, l in enumerate(line):
+                    line[i] = l
+                param['RMIN'] = real2float(line[0])
+                param['RMAX'] = real2float(line[1])
+                param['RMAXU'] = real2float(line[2])
+                param['QMIN'] = real2float(line[3])
+                param['LCLOSE'] = line[4].upper()
+            param['BINARY_OUTPUTFILE'] = f.readline().strip()
+            param['STATUS_FLAG_FOR_OPEN_STATEMENTS'] = f.readline().strip().upper()
+    except IOError:
+       print(f"{param_file_name} not found.")
+    
+    return param
+
+def write_swift_param(param, param_file_name):
+    outfile = open(param_file_name, 'w')
+    print(param['T0'], param['TSTOP'], param['DT'], file=outfile)
+    print(param['DTOUT'], param['DTDUMP'], file=outfile)
+    print(param['L1'], param['L2'], param['L3'], param['L4'], param['L5'], param['L6'], file=outfile)
+    print(param['RMIN'], param['RMAX'], param['RMAXU'], param['QMIN'], param['LCLOSE'], file=outfile)
+    print(param['BINARY_OUTPUTFILE'], file=outfile)
+    print(param['STATUS_FLAG_FOR_OPEN_STATEMENTS'], file=outfile)
+    outfile.close()
+    return
+
+def write_labeled_param(param, param_file_name):
+    outfile = open(param_file_name, 'w')
+    for key, val in sorted(param.items()):
+        print(f"{key:<16} {val}", file=outfile)
+    outfile.close()
+    return
+
+def swifter_stream(f, param):
+    """
+    Reads in a Swifter bin.dat file and returns a single frame of data as a datastream
+
+    Parameters
+    ----------
+    f : file object
+    param : dict
+
+    Yields
+    -------
+    t    : float
+        Time of this frame
+    npl  : int
+        Number of massive bodies
+    plid : int array
+        IDs of massive bodies
+    pvec : float array
+        (npl,N) - vector of N quantities or each particle (6 of XV/EL + Mass, Radius, etc)
+    plab : string list
+        Labels for the pvec data
+    ntp  : int
+        Number of test particles
+    tpid : int array
+        Ids of test particles
+    tvec : float array
+        (ntp,N) - vector of N quantities for each particle (6 of XV/EL, etc.)
+    tlab : string list
+        Labels for the tvec data
+    """
+    while True:  # Loop until you read the end of file
+        try:
+            # Read single-line header
+            record = f.read_record('<f8', '<i4', '<i4', '<i4')
+        except:
+            break
+        t = record[0]
+        npl = record[1][0] - 1
+        ntp = record[2][0]
+        
+        pvec = np.empty((6, npl))
+        plid = np.empty(npl, dtype='int')
+        tvec = np.empty((6, ntp))
+        tpid = np.empty(ntp, dtype='int')
+        if npl > 0:
+            Mpl = np.empty(npl)
+            Rpl = np.empty(npl)
+            for i in range(npl):
+                # Read single-line pl frame for
+                record = f.read_record('<i4', '<f8', '<f8', '(6,)<f8')
+                plid[i] = record[0]
+                Mpl[i] = record[1]
+                Rpl[i] = record[2]
+                pvec[:, i] = record[3]
+        if ntp > 0:
+            for i in range(ntp):
+                record = f.read_record('<i4', '(6,)<f8')
+                tpid[i] = record[0]
+                tvec[:, i] = record[1]
+        
+        tlab = []
+        if param['OUT_FORM'] == 'XV':
+            tlab.append('px')
+            tlab.append('py')
+            tlab.append('pz')
+            tlab.append('vx')
+            tlab.append('vy')
+            tlab.append('vz')
+        elif param['OUT_FORM'] == 'EL':
+            tlab.append('a')
+            tlab.append('e')
+            tlab.append('inc')
+            tlab.append('capom')
+            tlab.append('omega')
+            tlab.append('capm')
+        plab = tlab.copy()
+        plab.append('Mass')
+        plab.append('Radius')
+        pvec = np.vstack([pvec, Mpl, Rpl])
+        
+        yield t, npl, plid, pvec.T, plab, \
+              ntp, tpid, tvec.T, tlab
+
+
+def make_swiftest_labels(param):
+   tlab = []
+   if param['OUT_FORM'] == 'XV':
+      tlab.append('px')
+      tlab.append('py')
+      tlab.append('pz')
+      tlab.append('vx')
+      tlab.append('vy')
+      tlab.append('vz')
+      tlab.append('a')
+      tlab.append('e')
+      tlab.append('inc')
+      tlab.append('capom')
+      tlab.append('omega')
+      tlab.append('capm')
+   elif param['OUT_FORM'] == 'EL':
+      tlab.append('a')
+      tlab.append('e')
+      tlab.append('inc')
+      tlab.append('capom')
+      tlab.append('omega')
+      tlab.append('capm')
+   plab = tlab.copy()
+   plab.append('Mass')
+   plab.append('Radius')
+   if param['ROTATION'] == 'YES':
+      plab.append('rot_x')
+      plab.append('rot_y')
+      plab.append('rot_z')
+      plab.append('Ip_x')
+      plab.append('Ip_y')
+      plab.append('Ip_z')
+   if param['TIDES'] == 'YES':
+      plab.append('k2')
+      plab.append('Q')
+   return plab, tlab
+
+
+def swiftest_stream(f, param):
+   """
+   Reads in a Swiftest bin.dat file and returns a single frame of data as a datastream
+
+   Parameters
+   ----------
+   f : file object
+   param : dict
+
+   Yields
+   -------
+   t   : float
+      Time of this frame
+   npl  : int
+      Number of massive bodies
+   plid : int array
+      IDs of massive bodies
+   pvec : float array
+      (npl,N) - vector of N quantities or each particle (6 of XV/EL + mass, radius, etc)
+   plab : string list
+      Labels for the pvec data
+   ntp  : int
+      Number of test particles
+   tpid : int array
+      Ids of test particles
+   tvec : float array
+      (ntp,N) - vector of N quantities for each particle (6 of XV/EL, etc.)
+   tlab : string list
+      Labels for the tvec data
+   """
+   while True:  # Loop until you read the end of file
+      try:
+         # Read multi-line header
+         t = f.read_reals(np.float64)  # Try first part of the header
+      except:
+         break
+      npl = f.read_ints()
+      ntp = f.read_ints()
+      iout_form = f.read_reals('c')
+      if npl[0] > 0:
+         plid = f.read_ints()
+         p1 = f.read_reals(np.float64)
+         p2 = f.read_reals(np.float64)
+         p3 = f.read_reals(np.float64)
+         p4 = f.read_reals(np.float64)
+         p5 = f.read_reals(np.float64)
+         p6 = f.read_reals(np.float64)
+         Mpl = f.read_reals(np.float64)
+         Rpl = f.read_reals(np.float64)
+         if param['ROTATION'] == 'YES':
+            rot_x = f.read_reals(np.float64)
+            rot_y = f.read_reals(np.float64)
+            rot_z = f.read_reals(np.float64)
+            Ip_1  = f.read_reals(np.float64)
+            Ip_2  = f.read_reals(np.float64)
+            Ip_3  = f.read_reals(np.float64)
+      if ntp[0] > 0:
+         tpid = f.read_ints()
+         t1 = f.read_reals(np.float64)
+         t2 = f.read_reals(np.float64)
+         t3 = f.read_reals(np.float64)
+         t4 = f.read_reals(np.float64)
+         t5 = f.read_reals(np.float64)
+         t6 = f.read_reals(np.float64)
+
+      plab, tlab = make_swiftest_labels(param)
+
+      if param['OUT_FORM'] == 'XV':
+         mu = np.empty_like(p1)
+         mu[0] = Mpl[0]
+         mu[1:] = Mpl[0] + Mpl[1:]
+         p7 = []
+         p8 = []
+         p9 = []
+         p10 = []
+         p11 = []
+         p12 = []
+         for i in range(mu.size):
+            elem = orbel.xv2el(mu[i], p1[i], p2[i], p3[i], p4[i], p5[i], p6[i])
+            p7.append(elem[0])
+            p8.append(elem[1])
+            p9.append(elem[2])
+            p10.append(elem[3])
+            p11.append(elem[4])
+            p12.append(elem[5])
+         p7 = np.array(p7)
+         p8 = np.array(p8)
+         p9 = np.array(p9)
+         p10 = np.array(p10)
+         p11 = np.array(p11)
+         p12 = np.array(p12)
+         if ntp[0] > 0:
+            mu = np.full_like(t1,Mpl[0])
+            t7 = []
+            t8 = []
+            t9 = []
+            t10 = []
+            t11 = []
+            t12 = []
+            for i in range(mu.size):
+               elem = orbel.xv2el(mu[i], t1[i], t2[i], t3[i], t4[i], t5[i], t6[i])
+               t7.append(elem[0])
+               t8.append(elem[1])
+               t9.append(elem[2])
+               t10.append(elem[3])
+               t11.append(elem[4])
+               t12.append(elem[5])
+            t7 = np.array(t7)
+            t8 = np.array(t8)
+            t9 = np.array(t9)
+            t10 = np.array(t10)
+            t11 = np.array(t11)
+            t12 = np.array(t12)
+
+      if npl > 0:
+         if param['ROTATION'] == 'YES':
+            if param['OUT_FORM'] == 'EL':
+               pvec = np.vstack([p1,p2,p3,p4,p5,p6,Mpl,Rpl,rot_x,rot_y,rot_z,Ip_1,Ip_2,Ip_3])
+            else:
+               pvec = np.vstack([p1, p2, p3, p4, p5, p6, p7, p8, p9, p10, p11, p12, Mpl, Rpl, rot_x, rot_y, rot_z, Ip_1, Ip_2, Ip_3])
+         else:
+            if param['OUT_FORM'] == 'EL':
+               pvec = np.vstack([p1,p2,p3,p4,p5,p6,Mpl,Rpl])
+            else:
+               pvec = np.vstack([p1, p2, p3, p4, p5, p6, p7, p8, p9, p10, p11, p12, Mpl, Rpl])
+      else:
+         pvec = np.empty((8,0))
+         plid = np.empty(0)
+      if ntp > 0:
+         if param['OUT_FORM'] == 'EL':
+            tvec = np.vstack([t1,t2,t3,t4,t5,t6])
+         else:
+            tvec = np.vstack([t1, t2, t3, t4, t5, t6, t7, t8, t9, t10, t11, t12])
+      else:
+         tvec = np.empty((6,0))
+         tpid = np.empty(0)
+      yield t, npl, plid, pvec.T, plab, \
+           ntp, tpid, tvec.T, tlab
+       
+       
+def swifter2xr(param):
+    """
+    Converts a Swifter binary data file into an xarray DataSet.
+
+    Parameters
+    ----------
+    param : dict
+        Swifter parameters
+
+    Returns
+    -------
+    xarray dataset
+    """
+    dims = ['time', 'id', 'vec']
+    pl = []
+    tp = []
+    with FortranFile(param['BIN_OUT'], 'r') as f:
+        for t, npl, plid, pvec, plab, \
+            ntp, tpid, tvec, tlab in swifter_stream(f, param):
+            plframe = np.expand_dims(pvec, axis=0)
+            tpframe = np.expand_dims(tvec, axis=0)
+
+            # Create xarray DataArrays out of each body type
+            plxr = xr.DataArray(plframe, dims=dims, coords={'time': t, 'id': plid, 'vec': plab})
+            tpxr = xr.DataArray(tpframe, dims=dims, coords={'time': t, 'id': tpid, 'vec': tlab})
+            
+            pl.append(plxr)
+            tp.append(tpxr)
+            sys.stdout.write('\r' + f"Reading in time {t[0]:.3e}")
+            sys.stdout.flush()
+        
+        plda = xr.concat(pl, dim='time')
+        tpda = xr.concat(tp, dim='time')
+        
+        plds = plda.to_dataset(dim='vec')
+        tpds = tpda.to_dataset(dim='vec')
+        print('\nCreating Dataset')
+        ds = xr.combine_by_coords([plds, tpds])
+        print(f"Successfully converted {ds.sizes['time']} output frames.")
+    return ds
+
+
+def swiftest2xr(param):
+   """Reads in the Swiftest BIN_OUT file and converts it to an xarray Dataset"""
+   dims  = ['time','id', 'vec']
+   dsframes = []
+
+   with FortranFile(param['BIN_OUT'], 'r') as f:
+      for t, npl, plid, pvec, plab, \
+         ntp, tpid, tvec, tlab in swiftest_stream(f, param):
+         plframe = np.expand_dims(pvec, axis=0)
+         tpframe = np.expand_dims(tvec, axis=0)
+         bd = []
+
+         # Create xarray DataArrays out of each body type
+         if npl[0] > 0 :
+            plxr = xr.DataArray(plframe, dims=dims, coords={'time': t, 'id': plid, 'vec': plab})
+            bd.append(plxr)
+         if ntp[0] > 0 :
+            tpxr = xr.DataArray(tpframe, dims=dims, coords={'time': t, 'id': tpid, 'vec': tlab})
+            bd.append(tpxr)
+         bdxr = xr.concat(bd, dim='time')
+         bdxr = bdxr.to_dataset(dim='vec')
+         bdxr = bdxr.assign(npl=npl[0])
+         bdxr = bdxr.assign(ntp=ntp[0])
+         dsframes.append(bdxr)
+         sys.stdout.write('\r'+f"Reading in time {t[0]:.3e}")
+         sys.stdout.flush()
+      print('\nCreating Dataset')
+      ds = xr.concat(dsframes, dim='time')
+   if not param['PARTICLE_FILE'] == '':
+      ds = swiftest_particle_2xr(ds, param)
+   print(f"Successfully converted {ds.sizes['time']} output frames.")
+   return ds
+
+def swiftest_particle_stream(f):
+   """
+   Reads in a Swiftest particle.dat file and returns a single frame of particle data as a datastream
+
+   Parameters
+   ----------
+   f : file object
+   param : dict
+
+   Yields
+   -------
+   plid : int
+      ID of massive bodie
+   origin_type : string
+      The origin type for the body (Initial conditions, disruption, supercatastrophic, hit and run, etc)
+   origin_xh : float array
+      The origin heliocentric position vector
+   origin_vh : float array
+      The origin heliocentric velocity vector
+   """
+   while True:  # Loop until you read the end of file
+      try:
+         # Read multi-line header
+         plid = f.read_ints()  # Try first part of the header
+      except:
+         break
+      origin_rec = f.read_record(np.dtype('a32'), np.dtype(('<f8', (7))))
+      origin_type = np.char.strip(str(origin_rec[0], encoding='utf-8'))
+      origin_vec = origin_rec[1]
+      yield plid, origin_type, origin_vec
+
+def swiftest_particle_2xr(ds, param):
+   """Reads in the Swiftest PARTICLE_FILE  and converts it to an xarray Dataset"""
+   veclab = ['time_origin', 'px_origin', 'py_origin', 'pz_origin', 'vx_origin', 'vy_origin', 'vz_origin']
+   id_list = []
+   origin_type_list = []
+   origin_vec_list = []
+
+   with FortranFile(param['PARTICLE_FILE'], 'r') as f:
+      for plid, origin_type, origin_vec in swiftest_particle_stream(f):
+         id_list.append(plid)
+
+         origin_type_list.append(origin_type)
+         origin_vec_list.append(origin_vec)
+
+   id_list =  np.asarray(id_list)[:,0]
+   origin_type_list = np.asarray(origin_type_list)
+   origin_vec_list = np.vstack(origin_vec_list)
+
+   typeda = xr.DataArray(origin_type_list, dims=['id'], coords={'id' : id_list})
+   vecda = xr.DataArray(origin_vec_list, dims=['id', 'vec'], coords={'id' : id_list, 'vec' : veclab})
+
+   infoxr = vecda.to_dataset(dim='vec')
+   infoxr['origin_type'] = typeda
+
+   print('\nAdding particle info to Dataset')
+   ds = xr.merge([ds, infoxr])
+   return ds
+
+
+
+
+def swiftest_xr2infile(ds, param, framenum=-1):
+   """
+   Writes a set of Swiftest input files from a single frame of a Swiftest xarray dataset
+
+   Parameters
+   ----------
+   ds : xarray dataset
+       Dataset containing Swiftest n-body data in XV format
+   framenum : int
+       Time frame to use to generate the initial conditions. If this argument is not passed, the default is to use the last frame in the dataset.
+   param : dict
+       Swiftest Configuration parameters. This method uses the names of the cb, pl, and tp files from the configuration
+
+   Returns
+   -------
+   A set of three input files for a Swiftest run
+   """
+   frame = ds.isel(time=framenum)
+   pl = frame.where(np.invert(np.isnan(frame['Mass'])), drop=True)
+   tp = frame.where(np.isnan(frame['Mass']), drop=True).drop_vars(['Mass', 'Radius'])
+   tp = tp.where(np.invert(np.isnan(tp['px'])), drop=True)
+
+   GMSun = np.double(pl['Mass'].isel(id=0))
+   RSun = np.double(pl['Radius'].isel(id=0))
+
+   if param['IN_TYPE'] == 'ASCII':
+      # Swiftest PL file
+      plfile = open(param['PL_IN'], 'w')
+      print(pl.id.count().values, file=plfile)
+      for i in pl.id:
+         pli = pl.sel(id=i)
+         print(i.values, pli['Mass'].values, file=plfile)
+         if i != 0:
+            print(pli['Radius'].values, file=plfile)
+         print(pli['px'].values, pli['py'].values, pli['pz'].values, file=plfile)
+         print(pli['vx'].values, pli['vy'].values, pli['vz'].values, file=plfile)
+         if param['ROTATION'] == 'YES':
+            print(pli['Ip_x'].values, pli['Ip_y'].values, pli['Ip_z'].values, file=plfile)
+            print(pli['rot_x'].values, pli['rot_y'].values, pli['rot_z'].values, file=plfile)
+      plfile.close()
+
+      # TP file
+      tpfile = open(param['TP_IN'], 'w')
+      print(tp.id.count().values, file=tpfile)
+      for i in tp.id:
+         tpi = tp.sel(id=i)
+         print(i.values, file=tpfile)
+         print(tpi['px'].values, tpi['py'].values, tpi['pz'].values, file=tpfile)
+         print(tpi['vx'].values, tpi['vy'].values, tpi['vz'].values, file=tpfile)
+      tpfile.close()
+   elif param['IN_TYPE'] == 'REAL8':
+      # Now make Swiftest files
+      cbfile = FortranFile(swiftest_cb, 'w')
+      Msun = np.double(1.0)
+      cbfile.write_record(np.double(GMSun))
+      cbfile.write_record(np.double(rmin))
+      cbfile.write_record(np.double(J2))
+      cbfile.write_record(np.double(J4))
+      cbfile.close()
+
+      plfile = FortranFile(swiftest_pl, 'w')
+      plfile.write_record(npl)
+
+      plfile.write_record(plid)
+      plfile.write_record(p_pl[0])
+      plfile.write_record(p_pl[1])
+      plfile.write_record(p_pl[2])
+      plfile.write_record(v_pl[0])
+      plfile.write_record(v_pl[1])
+      plfile.write_record(v_pl[2])
+      plfile.write_record(mass)
+      plfile.write_record(radius)
+      plfile.close()
+      tpfile = FortranFile(swiftest_tp, 'w')
+      ntp = 1
+      tpfile.write_record(ntp)
+      tpfile.write_record(tpid)
+      tpfile.write_record(p_tp[0])
+      tpfile.write_record(p_tp[1])
+      tpfile.write_record(p_tp[2])
+      tpfile.write_record(v_tp[0])
+      tpfile.write_record(v_tp[1])
+      tpfile.write_record(v_tp[2])
+   else:
+      print(f"{param['IN_TYPE']} is an unknown file type")
+
+def swift2swifter(swift_param, plname="", tpname="", conversion_questions={}):
+    swifter_param = {}
+    intxt = conversion_questions.get('RHILL', None)
+    if not intxt:
+        intxt = input("Is this a SyMBA input file with RHILL values in pl.in? (y/N)> ")
+    if intxt.upper() == 'Y':
+        isSyMBA = True
+        swifter_param['RHILL_PRESENT'] = 'YES'
+    else:
+        isSyMBA = False
+        swifter_param['RHILL_PRESENT'] = 'NO'
+        
+    isDouble = conversion_questions.get('DOUBLE', None)
+    if not isDouble:
+        print("Use single precision or double precision for real outputs?")
+        print(" 1) Single (real*4)")
+        print("*2) Double (real*8)")
+        intxt = input("> ")
+        if intxt == '1':
+            isDouble = False
+        else:
+            isDouble = True
+        
+    # Convert the parameter file values
+    swifter_param['T0'] = swift_param['T0']
+    swifter_param['TSTOP'] = swift_param['TSTOP']
+    swifter_param['DT'] = swift_param['DT']
+    swifter_param['ISTEP_OUT'] = int(swift_param['DTOUT'] / swift_param['DT'])
+    swifter_param['ISTEP_DUMP'] = int(swift_param['DTDUMP'] / swift_param['DT'])
+    swifter_param['BIN_OUT'] = swift_param['BINARY_OUTPUTFILE']
+    swifter_param['OUT_STAT'] = swift_param['STATUS_FLAG_FOR_OPEN_STATEMENTS']
+    
+    if swift_param['L5'] == "T":
+        swifter_param['OUT_FORM'] = 'EL'
+    else:
+        swifter_param['OUT_FORM'] = 'XV'
+    
+    if swift_param['LCLOSE'] == "T":
+        swifter_param['CHK_CLOSE'] = "YES"
+    else:
+        swifter_param['CHK_CLOSE'] = "NO"
+        
+    swifter_param['CHK_RMIN'] = swift_param['RMIN']
+    swifter_param['CHK_RMAX'] = swift_param['RMAX']
+    swifter_param['CHK_QMIN'] = swift_param['QMIN']
+    if swift_param['QMIN'] != '-1':
+        
+        swifter_param['CHK_QMIN_COORD'] = conversion_questions.get('CHK_QMIN_COORD', None)
+        if not swifter_param['CHK_QMIN_COORD']:
+            print("CHK_QMIN_COORD value:")
+            print("*1) HELIO")
+            print(" 2) BARY")
+            intxt = input("> ")
+            if intxt == '2':
+                swifter_param['CHK_QMIN_COORD'] = "BARY"
+            else:
+                swifter_param['CHK_QMIN_COORD'] = "HELIO"
+
+        swifter_param['CHK_QMIN_RANGE'] = conversion_questions.get('CHK_QMIN_RANGE', None)
+        if not swifter_param['CHK_QMIN_RANGE']:
+            alo = input(f"Lower bound on CHK_QMIN_RANGE [{swift_param['RMIN']}]: ")
+            if alo == '':
+                alo = swift_param['RMIN']
+            ahi = input(f"Upper bound on CHK_QMIN_RANGE: [{swift_param['RMAXU']}]: ")
+            if ahi == '':
+                ahi = swift_param['RMAXU']
+            swifter_param['CHK_QMIN_RANGE'] = f"{alo} {ahi}"
+
+    
+    swifter_param['ENC_OUT'] = conversion_questions.get('ENC_OUT', None)
+    if not swifter_param['ENC_OUT']:
+        swifter_param['ENC_OUT'] = input("ENC_OUT: Encounter file name: [enc.dat]> ")
+        if swifter_param['ENC_OUT'] == '':
+            swifter_param['ENC_OUT'] = "enc.dat"
+        
+    intxt = conversion_questions.get('EXTRA_FORCE', None)
+    if not intxt:
+        intxt = input("EXTRA_FORCE: Use additional user-specified force routines? (y/N)> ")
+    if intxt.upper() == 'Y':
+        swifter_param['EXTRA_FORCE'] = 'YES'
+    else:
+        swifter_param['EXTRA_FORCE'] = 'NO'
+
+    intxt = conversion_questions.get('BIG_DISCARD', None)
+    if not intxt:
+        intxt = input("BIG_DISCARD: include data for all bodies > MTINY for each discard record? (y/N)> ")
+    if intxt.upper() == 'Y':
+        swifter_param['BIG_DISCARD'] = 'YES'
+    else:
+        swifter_param['BIG_DISCARD'] = 'NO'
+    
+    # Convert the PL file
+    if plname == '':
+        plname = input("PL_IN: Name of new planet input file: [pl.swifter.in]> ")
+        if plname == '':
+            plname = "pl.swifter.in"
+    swifter_param['PL_IN'] = plname
+    try:
+        plnew = open(swifter_param['PL_IN'], 'w')
+    except IOError:
+        print(f"Cannot write to file {swifter_param['PL_IN']}")
+        return swift_param
+    
+    print(f"Converting PL file: {swift_param['PL_IN']} -> {swifter_param['PL_IN']}")
+    try:
+        with open(swift_param['PL_IN'], 'r') as plold:
+            line = plold.readline()
+            i_list = [i for i in line.split(" ") if i.strip()]
+            npl = int(i_list[0])
+            print(npl, file=plnew)
+            line = plold.readline()
+            i_list = [i for i in line.split(" ") if i.strip()]
+            GMcb = real2float(i_list[0])
+            if swift_param['L1'] == "T":
+                swifter_param['J2'] = real2float(i_list[1])
+                swifter_param['J4'] = real2float(i_list[2])
+            else:
+                swifter_param['J2'] = 0.0
+                swifter_param['J4'] = 0.0
+            print(1, GMcb, file=plnew)
+            print(0.0, 0.0, 0.0, file=plnew)
+            print(0.0, 0.0, 0.0, file=plnew)
+            line = plold.readline()  # Ignore the two zero vector lines
+            line = plold.readline()
+            for n in range(1, npl):  # Loop over planets
+                line = plold.readline()
+                i_list = [i for i in line.split(" ") if i.strip()]
+                GMpl = real2float(i_list[0])
+                if isSyMBA:
+                    Rhill = real2float(i_list[1])
+                    if swift_param['LCLOSE'] == "T":
+                        plrad = real2float(i_list[2])
+                else:
+                    if swift_param['LCLOSE'] == "T":
+                        plrad = real2float(i_list[1])
+                if swifter_param['RHILL_PRESENT'] == 'YES':
+                    print(n + 1, GMpl, Rhill, file=plnew)
+                else:
+                    print(n + 1, GMpl, file=plnew)
+                if swifter_param['CHK_CLOSE'] == 'YES':
+                    print(plrad, file=plnew)
+                line = plold.readline()
+                i_list = [i for i in line.split(" ") if i.strip()]
+                xh = real2float(i_list[0])
+                yh = real2float(i_list[1])
+                zh = real2float(i_list[2])
+                print(xh, yh, zh, file=plnew)
+                line = plold.readline()
+                i_list = [i for i in line.split(" ") if i.strip()]
+                vx = real2float(i_list[0])
+                vy = real2float(i_list[1])
+                vz = real2float(i_list[2])
+                print(vx, vy, vz, file=plnew)
+        plnew.close()
+        plold.close()
+    except IOError:
+        print(f"Error converting PL file")
+        
+    # Convert the TP file
+    if tpname == '':
+        tpname = input("TP_IN: Name of new test particle input file: [tp.swifter.in]> ")
+        if tpname == '':
+            tpname = "tp.swifter.in"
+    swifter_param['TP_IN'] = tpname
+
+    try:
+        tpnew = open(swifter_param['TP_IN'], 'w')
+    except IOError:
+        print(f"Cannot write to file {swifter_param['TP_IN']}")
+
+    print(f"Converting TP file: {swift_param['TP_IN']} -> {swifter_param['TP_IN']}")
+    try:
+        print(f'Writing out new TP file: {swifter_param["TP_IN"]}')
+        with open(swift_param['TP_IN'], 'r') as tpold:
+            line = tpold.readline()
+            i_list = [i for i in line.split(" ") if i.strip()]
+            ntp = int(i_list[0])
+            print(ntp, file=tpnew)
+            for n in range(0, ntp):  # Loop over test particles
+                print(npl + n + 1, file=tpnew)
+                line = tpold.readline()
+                i_list = [i for i in line.split(" ") if i.strip()]
+                xh = real2float(i_list[0])
+                yh = real2float(i_list[1])
+                zh = real2float(i_list[2])
+                print(xh, yh, zh, file=tpnew)
+                line = tpold.readline()
+                i_list = [i for i in line.split(" ") if i.strip()]
+                vx = real2float(i_list[0])
+                vy = real2float(i_list[1])
+                vz = real2float(i_list[2])
+                print(vx, vy, vz, file=tpnew)
+                # Ignore STAT lines
+                line = tpold.readline()
+                line = tpold.readline()
+    except IOError:
+        print(f"Error converting TP file")
+    swifter_param['! VERSION'] = "Swifter parameter file converted from Swift"
+    
+    return swifter_param
+
+def swifter2swiftest(swifter_param, plname="", tpname="", cbname="", conversion_questions={}):
+    swiftest_param = swifter_param.copy()
+    # Pull additional feature status from the conversion_questions dictionary
+    featurelist = ("FRAGMENTATION", "ROTATION", "TIDES", "ENERGY", "GR", "YARKOVSKY", "YORP" )
+    for key in featurelist:
+        swiftest_param[key] = conversion_questions.get(key, "NO")
+    # Convert the PL file
+    if plname == '':
+        plname = input("PL_IN: Name of new planet input file: [pl.swiftest.in]> ")
+        if plname == '':
+            plname = "pl.swiftest.in"
+    swiftest_param['PL_IN'] = plname
+   
+    try:
+        plnew = open(swiftest_param['PL_IN'], 'w')
+    except IOError:
+        print(f"Cannot write to file {swiftest_param['PL_IN']}")
+        return swifter_param
+
+    print(f"Converting PL file: {swifter_param['PL_IN']} -> {swiftest_param['PL_IN']}")
+    try:
+        with open(swifter_param['PL_IN'], 'r') as plold:
+            line = plold.readline()
+            line = line.split("!")[0]  # Ignore comments
+            i_list = [i for i in line.split(" ") if i.strip()]
+            npl = int(i_list[0])
+            print(npl, file=plnew)
+            for n in range(3):
+                line = plold.readline()
+                print(line, file=plnew)
+            # Needs to be implemented as a question
+            #print("0.4 0.4 0.4 ! Ip", file=plnew)
+            #print("0.0 0.0 0.0 ! rot", file=plnew)
+            for n in range(npl):  # Loop over planets
+                line = plold.readline()
+                i_list = [i for i in line.split(" ") if i.strip()]
+                name = int(i_list[0])
+                GMpl = real2float(i_list[1])
+                print(name, GMpl, file=plnew)
+                if swifter_param['CHK_CLOSE'] == 'YES':
+                    line = plold.readline()
+                    i_list = [i for i in line.split(" ") if i.strip()]
+                    plrad = real2float(i_list[0])
+                    print(plrad, file=plnew)
+                line = plold.readline()
+                i_list = [i for i in line.split(" ") if i.strip()]
+                xh = real2float(i_list[0])
+                yh = real2float(i_list[1])
+                zh = real2float(i_list[2])
+                print(xh, yh, zh, file=plnew)
+                line = plold.readline()
+                i_list = [i for i in line.split(" ") if i.strip()]
+                vx = real2float(i_list[0])
+                vy = real2float(i_list[1])
+                vz = real2float(i_list[2])
+                print(vx, vy, vz, file=plnew)
+        plnew.close()
+        plold.close()
+    except IOError:
+        print(f"Error converting PL file")
+        
+    # Convert the TP file
+    if tpname == '':
+        tpname = input("TP_IN: Name of new planet input file: [tp.swiftest.in]> ")
+        if tpname == '':
+            tpname = "tp.swiftest.in"
+    swiftest_param['TP_IN'] = tpname
+
+    try:
+        tpnew = open(swiftest_param['TP_IN'], 'w')
+    except IOError:
+        print(f"Cannot write to file {swiftest_param['TP_IN']}")
+  
+    print(f"Converting TP file: {swifter_param['TP_IN']} -> {swiftest_param['TP_IN']}")
+    try:
+        print(f'Writing out new TP file: {swiftest_param["TP_IN"]}')
+        with open(swifter_param['TP_IN'], 'r') as tpold:
+            line = tpold.readline()
+            line = line.split("!")[0]  # Ignore comments
+            i_list = [i for i in line.split(" ") if i.strip()]
+            ntp = int(i_list[0])
+            print(ntp, file=tpnew)
+            for n in range(0, ntp):  # Loop over test particles
+                line = tpold.readline()
+                i_list = [i for i in line.split(" ") if i.strip()]
+                name = int(i_list[0])
+                print(name, file=tpnew)
+                line = tpold.readline()
+                i_list = [i for i in line.split(" ") if i.strip()]
+                xh = real2float(i_list[0])
+                yh = real2float(i_list[1])
+                zh = real2float(i_list[2])
+                print(xh, yh, zh, file=tpnew)
+                line = tpold.readline()
+                i_list = [i for i in line.split(" ") if i.strip()]
+                vx = real2float(i_list[0])
+                vy = real2float(i_list[1])
+                vz = real2float(i_list[2])
+                print(vx, vy, vz, file=tpnew)
+        
+        tpold.close()
+        tpnew.close()
+    except IOError:
+        print(f"Error converting TP file")
+        
+    unit_system = conversion_questions.get('UNITS', None)
+    unit_type = 5
+    if not unit_system:
+        print(f"\nCentral body G*M = {GMcb}\n")
+        print("Select the unit system to use:")
+        print("1) MSun-AU-year")
+        print("2) MSun-AU-day")
+        print("3) SI: kg-m-s")
+        print("4) CGS: g-cm-s")
+        print("5) Set units manually")
+        inval = input("> ")
+        try:
+            unit_type = int(inval)
+        except ValueError:
+            goodval = False
+        else:
+            goodval = (unit_type > 0 and unit_type < 6)
+        if not goodval:
+            print(f"{inval} is not a valid menu option")
+            sys.exit(-1)
+    if unit_type == 1 or unit_system.upper() == 'MSUN-AU-YEAR':
+        print("Unit system is MSun-AU-year")
+        swiftest_param['MU2KG'] = swiftest.MSun
+        swiftest_param['DU2M'] = swiftest.AU2M
+        swiftest_param['TU2S'] = swiftest.YR2S
+    elif unit_type == 2 or unit_system.upper() == 'MSUN-AU-DAY':
+        print("Unit system is MSun-AU-day")
+        swiftest_param['MU2KG'] = swiftest.MSun
+        swiftest_param['DU2M'] = swiftest.AU2M
+        swiftest_param['TU2S'] = swiftest.JD2S
+    elif unit_type == 3 or unit_system.upper() == 'SI':
+        print("Unit system is SI: kg-m-s")
+        swiftest_param['MU2KG'] = 1.0
+        swiftest_param['DU2M'] = 1.0
+        swiftest_param['TU2S'] = 1.0
+    elif unit_type == 4 or unit_system.upper() == 'CGS':
+        print("Unit system is CGS: g-cm-s")
+        swiftest_param['MU2KG'] = 1e-3
+        swiftest_param['DU2M'] = 1.0e-2
+        swiftest_param['TU2S'] = 1.0
+    elif unit_type == 5:
+        print("User-defined units.")
+        print("Define each unit (mass, distance, and time) by its corresponding SI value.")
+        swiftest_param['MU2KG'] = input("Mass value in kilograms: ")
+        swiftest_param['DU2M'] = input("Distance value in meters: ")
+        swiftest_param['TU2S'] = input("Time unit in seconds: ")
+    GU = swiftest.GC / (swiftest_param['DU2M'] ** 3 / (swiftest_param['MU2KG'] * swiftest_param['TU2S'] ** 2))
+    print(f"Central body mass: {GMcb / GU} MU ({(GMcb / GU) * swiftest_param['MU2KG']} kg)")
+   
+    MTINY = conversion_questions.get('MTINY', None)
+    if not MTINY:
+        MTINY = input(f"Value of MTINY if this is a SyMBA simulation (enter nothing if this is not a SyMBA parameter file)> ")
+    if MTINY != '' and real2float(MTINY.strip()) > 0:
+        swiftest_param['MTINY'] = real2float(MTINY.strip())
+        
+    # Remove the unneeded parameters
+    if 'C' in swiftest_param:
+        swiftest_param['GR'] = 'YES'
+        swiftest_param.pop('C', None)
+    swiftest_param.pop('J2', None)
+    swiftest_param.pop('J4', None)
+    swiftest_param.pop('RHILL_PRESENT', None)
+    swiftest_param['! VERSION'] = "Swiftest parameter file converted from Swifter"
+    return swiftest_param
+
+def swift2swiftest(swift_param, plname="", tpname="", cbname="", conversion_questions={}):
+    if plname == '':
+        plname = input("PL_IN: Name of new planet input file: [pl.swiftest.in]> ")
+        if plname == '':
+            plname = "pl.swiftest.in"
+    pltmp = tempfile.NamedTemporaryFile()
+    pltmpname = pltmp.name
+
+    if tpname == '':
+        tpname = input("TP_IN: Name of new planet input file: [tp.swiftest.in]> ")
+        if tpname == '':
+            tpname = "tp.swiftest.in"
+    tptmp = tempfile.NamedTemporaryFile()
+    tptmpname = tptmp.name
+
+    # Create the CB file
+    if cbname == '':
+        cbname = input("CB_IN: Name of new planet input file: [cb.swiftest.in]> ")
+        if cbname == '':
+            cbname = "cb.swiftest.in"
+    swifter_param = swift2swifter(swift_param, pltmpname, tptmpname, conversion_questions)
+    swiftest_param = swifter2swiftest(swifter_param, plname, tpname, cbname, conversion_questions)
+    swiftest_param['! VERSION'] = "Swiftest parameter file converted from Swift"
+    return swiftest_param
+    
\ No newline at end of file
diff --git a/python/swiftest/swiftest/simulation_class.py b/python/swiftest/swiftest/simulation_class.py
new file mode 100644
index 000000000..94f922dfe
--- /dev/null
+++ b/python/swiftest/swiftest/simulation_class.py
@@ -0,0 +1,148 @@
+from swiftest import io
+from swiftest import tool
+
+class Simulation:
+    """
+    This is a class that define the basic Swift/Swifter/Swiftest simulation object
+    """
+    def __init__(self, codename="Swiftest", param_file=""):
+        self.ds = None
+        self.param = {
+            '! VERSION': f"Swiftest parameter input",
+            'T0': "0.0",
+            'TSTOP': "0.0",
+            'DT': "0.0",
+            'PL_IN': "",
+            'TP_IN': "",
+            'CB_IN': "",
+            'IN_TYPE': "REAL8",
+            'ISTEP_OUT': "1",
+            'ISTEP_DUMP': "1",
+            'BIN_OUT': "bin.dat",
+            'OUT_TYPE': 'REAL8',
+            'OUT_FORM': "XV",
+            'OUT_STAT': "REPLACE",
+            'J2': "0.0",
+            'J4': "0.0",
+            'CHK_RMIN': "-1.0",
+            'CHK_RMAX': "-1.0",
+            'CHK_EJECT': "-1.0",
+            'CHK_QMIN': "-1.0",
+            'CHK_QMIN_COORD': "HELIO",
+            'CHK_QMIN_RANGE': "",
+            'ENC_OUT': "",
+            'MTINY': "-1.0",
+            'MU2KG': "-1.0",
+            'TU2S': "-1.0",
+            'DU2M': "-1.0",
+            'GU': "-1.0",
+            'EXTRA_FORCE': "NO",
+            'BIG_DISCARD': "NO",
+            'CHK_CLOSE': "NO",
+            'FRAGMENTATION': "NO",
+            'MTINY_SET': "NO",
+            'ROTATION': "NO",
+            'TIDES': "NO",
+            'ENERGY': "NO",
+            'GR': "NO",
+            'YARKOVSKY': "NO",
+            'YORP': "NO",
+        }
+        if param_file != "" :
+            self.read_param(param_file, codename)
+        return
+    
+    def read_param(self, param_file, codename="Swiftest"):
+        if codename == "Swiftest":
+            self.param = io.read_swiftest_param(param_file)
+            self.codename = "Swiftest"
+        elif codename == "Swifter":
+            self.param = io.read_swifter_param(param_file)
+            self.codename = "Swifter"
+        elif codename == "Swift":
+            self.param = io.read_swift_param(param_file)
+            self.codename = "Swift"
+        else:
+            print(f'{codename} is not a recognized code name. Valid options are "Swiftest", "Swifter", or "Swift".')
+            self.codename = "Unknown"
+        return
+    
+    def write_param(self, param_file):
+        # Check to see if the parameter type matches the output type. If not, we need to convert
+        codename = self.param['! VERSION'].split()[0]
+        if codename == "Swifter" or codename == "Swiftest":
+            io.write_labeled_param(self.param, param_file)
+        elif codename == "Swift":
+            io.write_swift_param(self.param, param_file)
+        else:
+            print('Cannot process unknown code type. Call the read_param method with a valid code name. Valid options are "Swiftest", "Swifter", or "Swift".')
+        return
+    
+    def convert(self, param_file, newcodename="Swiftest", plname="pl.swiftest.in", tpname="tp.swiftest.in", cbname="cb.swiftest.in", conversion_questions={}):
+        """
+        Converts simulation input files from one code type to another (Swift, Swifter, or Swiftest). Returns the old parameter configuration.
+        """
+        oldparam = self.param
+        if self.codename == newcodename:
+            print(f"This parameter configuration is already in {newcodename} format")
+            return oldparam
+        if newcodename != "Swift" and newcodename != "Swifter" and newcodename != "Swiftest":
+            print(f'{newcodename} is an invalid code type. Valid options are "Swiftest", "Swifter", or "Swift".')
+            return oldparam
+        goodconversion = True
+        if self.codename == "Swifter":
+            if newcodename == "Swiftest":
+                self.param = io.swifter2swiftest(self.param, plname, tpname, cbname, conversion_questions)
+            else:
+                goodconversion = False
+        elif self.codename == "Swift":
+            if newcodename == "Swifter":
+                self.param = io.swift2swifter(self.param, plname, tpname, conversion_questions)
+            elif newcodename == "Swiftest":
+                self.param = io.swift2swiftest(self.param, plname, tpname, cbname, conversion_questions)
+            else:
+                goodconversion = False
+
+        if goodconversion:
+            self.write_param(param_file)
+        else:
+            print(f"Conversion from {self.codename} to {newcodename} is not supported.")
+        return oldparam
+    
+    def bin2xr(self):
+        if self.codename == "Swiftest":
+            self.ds = io.swiftest2xr(self.param)
+            print('Swiftest simulation data stored as xarray DataSet .ds')
+        elif self.codename == "Swifter":
+            self.ds = io.swifter2xr(self.param)
+            print('Swifter simulation data stored as xarray DataSet .ds')
+        elif self.codename == "Swift":
+            print("Reading Swift simulation data is not implemented yet")
+        else:
+            print('Cannot process unknown code type. Call the read_param method with a valid code name. Valid options are "Swiftest", "Swifter", or "Swift".')
+        return
+    
+
+    def follow(self, codestyle="Swifter"):
+        if self.ds is None:
+            self.bin2xr()
+        if codestyle == "Swift":
+            try:
+                with open('follow.in', 'r') as f:
+                    line = f.readline() # Parameter file (ignored because bin2xr already takes care of it
+                    line = f.readline() # PL file (ignored)
+                    line = f.readline() # TP file (ignored)
+                    line = f.readline() # ifol
+                    i_list = [i for i in line.split(" ") if i.strip()]
+                    ifol = int(i_list[0])
+                    line = f.readline()  # nskp
+                    i_list = [i for i in line.split(" ") if i.strip()]
+                    nskp = int(i_list[0])
+            except IOError:
+                print('No follow.in file found')
+                ifol = None
+                nskp = None
+            fol = tool.follow_swift(self.ds, ifol=ifol, nskp=nskp)
+        
+        print('follow.out written')
+        return fol
\ No newline at end of file
diff --git a/python/swiftest/swiftest/tool.py b/python/swiftest/swiftest/tool.py
new file mode 100644
index 000000000..fba725f4e
--- /dev/null
+++ b/python/swiftest/swiftest/tool.py
@@ -0,0 +1,85 @@
+import swiftest
+import numpy as np
+import os
+import glob
+from pyslalib import slalib
+import xarray as xr
+"""
+Functions that recreate the Swift/Swifter tool programs
+"""
+
+def sla_dranrm(angle):
+    func = np.vectorize(slalib.sla_dranrm)
+    return xr.apply_ufunc(func, angle)
+
+def follow_swift(ds, ifol=None, nskp=None):
+    """
+    Emulates the Swift version of tool_follow.f
+
+
+    Parameters
+    ----------
+    ds : Dataset containing orbital elements
+
+    Returns
+    -------
+    fol : Dataset containing only the followed body with angles converted to degrees
+    
+    Generates a file called follow.out containing 10 columns (angles are all in degrees):
+        1 2 3  4    5     6    7    8    9   10
+        t,a,e,inc,capom,omega,capm,peri,apo,obar
+
+    """
+    fol = None
+    if ifol is None:
+        intxt = input(' Input the particle number to follow \n')
+        ifol = int(intxt)
+    print(f"Following particle {ifol}")
+    if ifol < 0: # Negative numbers are planets
+        fol = ds.where(np.invert(np.isnan(ds['Mass'])), drop=True)
+        fol = fol.where(np.invert(np.isnan(fol['a'])), drop=True) # Remove times where this body doesn't exist (but this also gets rid of the central body)
+        fol = fol.isel(id = -ifol - 2)  # Take 1 off for 0-indexed arrays in Python, and take 1 more off because the central body is gone
+    elif ifol > 0: # Positive numbers are test particles
+        fol = ds.where(np.isnan(ds['Mass']), drop=True).drop_vars(['Mass', 'Radius'])
+        fol = fol.where(np.invert(np.isnan(fol['a'])), drop=True)
+        fol = fol.isel(id = ifol - 1)  # Take 1 off for 0-indexed arrays in Python
+
+    if nskp is None:
+        intxt = input('Input the print frequency\n')
+        nskp = int(intxt)
+        
+        
+    dr = 180.0 / np.pi
+    fol['obar'] = fol['capom'] + fol['omega']
+    fol['obar'] = fol['obar'].fillna(0)
+    fol['obar'] = sla_dranrm(fol['obar'])
+    fol['obar'] = fol['obar'] * dr
+    fol['inc'] = fol['inc'] * dr
+    fol['capom'] = fol['capom'] * dr
+    fol['omega'] = fol['omega'] * dr
+    fol['capm'] = fol['capm'] * dr
+    fol['peri'] = fol['a'] * (1.0 - fol['e'])
+    fol['apo']  = fol['a'] * (1.0 + fol['e'])
+
+    print('1 2 3  4    5     6    7    8    9   10')
+    print('t,a,e,inc,capom,omega,capm,peri,apo,obar')
+    
+    tslice = slice(None, None, nskp)
+    try:
+        with open('follow.out', 'w') as f:
+            for t in fol.isel(time=tslice).time:
+                a = fol['a'].sel(time=t).values
+                e = fol['e'].sel(time=t).values
+                inc = fol['inc'].sel(time=t).values
+                capom = fol['capom'].sel(time=t).values
+                omega = fol['omega'].sel(time=t).values
+                capm = fol['capm'].sel(time=t).values
+                peri = fol['peri'].sel(time=t).values
+                apo = fol['apo'].sel(time=t).values
+                obar = fol['obar'].sel(time=t).values
+                print(f"{t.values:15.7e} {a:10.4f} {e:7.5f} {inc:9.4f} {capom:9.4f} {omega:9.4f} {capm:9.4f} {peri:10.4f} {apo:10.4f} {obar:9.4f}", file=f)
+                
+    except IOError:
+        print(f"Error writing to follow.out")
+    
+    return fol
\ No newline at end of file
diff --git a/python/swiftest/tests/bin2xr/swiftest/bin2xr_swiftest.py b/python/swiftest/tests/bin2xr/swiftest/bin2xr_swiftest.py
new file mode 100644
index 000000000..4437247be
--- /dev/null
+++ b/python/swiftest/tests/bin2xr/swiftest/bin2xr_swiftest.py
@@ -0,0 +1,5 @@
+import swiftest
+import swiftest.io as swio
+param_file = "param.swiftest.in"
+sim = swiftest.Simulation(source="param.swiftest.in")
+ds = swio.swiftest2xr(sim.param)
\ No newline at end of file
diff --git a/python/swiftest/tests/bin2xr/swiftest/cb.swiftest.in b/python/swiftest/tests/bin2xr/swiftest/cb.swiftest.in
new file mode 100644
index 000000000..e50255f4a
--- /dev/null
+++ b/python/swiftest/tests/bin2xr/swiftest/cb.swiftest.in
@@ -0,0 +1,4 @@
+0.000295923385935
+0.00468
+0.0
+0.0
diff --git a/python/swiftest/tests/bin2xr/swiftest/param.swiftest.in b/python/swiftest/tests/bin2xr/swiftest/param.swiftest.in
new file mode 100644
index 000000000..6a9e599f9
--- /dev/null
+++ b/python/swiftest/tests/bin2xr/swiftest/param.swiftest.in
@@ -0,0 +1,31 @@
+! VERSION        Swiftest parameter file converted from Swift
+BIG_DISCARD      NO
+BIN_OUT          bin.dat
+CB_IN            cb.swiftest.in
+CHK_CLOSE        YES
+CHK_QMIN         0.00468
+CHK_QMIN_COORD   HELIO
+CHK_QMIN_RANGE   4.68e-03 100.0
+CHK_RMAX         100.0
+CHK_RMIN         0.00468
+DT               5.0
+DU2M             149597870700.0
+ENC_OUT          enc.dat
+ENERGY           NO
+EXTRA_FORCE      NO
+FRAGMENTATION    NO
+GR               NO
+ISTEP_DUMP       7305000
+ISTEP_OUT        7305000
+MU2KG            1.988409870698051e+30
+OUT_FORM         EL
+OUT_STAT         UNKNOWN
+PL_IN            pl.swiftest.in
+ROTATION         NO
+T0               0.0
+TIDES            NO
+TP_IN            tp.swiftest.in
+TSTOP            365250000000.0
+TU2S             86400
+YARKOVSKY        NO
+YORP             NO
diff --git a/python/swiftest/tests/bin2xr/swiftest/pl.swiftest.in b/python/swiftest/tests/bin2xr/swiftest/pl.swiftest.in
new file mode 100644
index 000000000..b7814ac98
--- /dev/null
+++ b/python/swiftest/tests/bin2xr/swiftest/pl.swiftest.in
@@ -0,0 +1,29 @@
+7
+2 4.91254745e-11
+1.63083872e-05
+-0.1407280799640445 -0.4439009577663329 -0.02334555971312333
+0.021170988258808896 -0.007097975438870806 -0.002522830951443755
+3 7.24345249e-10
+4.04544528e-05
+-0.7186302169039649 -0.02250380105571625 0.04117184137682461
+0.0005135327579269579 -0.02030614162239802 -0.0003071745100210849
+4 8.99701139e-10
+4.26352325e-05
+-0.1685504489908262 0.9687636586748941 -1.151849464023427e-06
+-0.01723001047964496 -0.003013273823615044 2.412522755326018e-08
+5 9.54953511e-11
+2.27075425e-05
+1.390361066044069 -0.02100972149003466 -0.03461801461346188
+0.0007479271121979245 0.01518629868805657 0.0002997532108600616
+6 2.8238813e-07
+0.000477894503
+4.003460074251473 2.93535365924021 -0.1018232730751003
+-0.004563473375353001 0.006446757832442719 7.545633314092875e-05
+7 8.4549815e-08
+0.000402866697
+6.408554725090048 6.568044145835263 -0.3691278858265656
+-0.004291119710689724 0.003891580681674363 0.0001028767891901977
+8 1.291492e-08
+0.000170851362
+14.43051751807564 -13.73565829091644 -0.238128468762112
+0.002678379897839438 0.002672442537311352 -2.477647055276606e-05
diff --git a/python/swiftest/tests/bin2xr/swiftest/tp.swiftest.in b/python/swiftest/tests/bin2xr/swiftest/tp.swiftest.in
new file mode 100644
index 000000000..b3b8f423c
--- /dev/null
+++ b/python/swiftest/tests/bin2xr/swiftest/tp.swiftest.in
@@ -0,0 +1,4 @@
+1
+9
+1.407578089380049 0.5926170247361682 -0.7567948854164774
+-0.004970782813745737 0.01294038841446245 3.261913169537027e-05
diff --git a/python/swiftest/tests/convert_code_type/swift2swifter/param.swift.in b/python/swiftest/tests/convert_code_type/swift2swifter/param.swift.in
new file mode 100644
index 000000000..3f9822a58
--- /dev/null
+++ b/python/swiftest/tests/convert_code_type/swift2swifter/param.swift.in
@@ -0,0 +1,6 @@
+.0d0 365.25d9 5.0d0
+365.25d5  365.25d5 
+F T F F T F
+4.68d-03 100.0 -1.0 4.68d-03 T
+bin.dat
+unknown
diff --git a/python/swiftest/tests/convert_code_type/swift2swifter/pl.swift.in b/python/swiftest/tests/convert_code_type/swift2swifter/pl.swift.in
new file mode 100644
index 000000000..4d479d3cf
--- /dev/null
+++ b/python/swiftest/tests/convert_code_type/swift2swifter/pl.swift.in
@@ -0,0 +1,28 @@
+	8
+   2.9592338592955439E-004
+   0.0000000000000000        0.0000000000000000        0.0000000000000000     
+   0.0000000000000000        0.0000000000000000        0.0000000000000000     
+   4.9127330156310911E-011   1.6308387199999999E-005
+ -0.15273942296363005      -0.44077188683118762       -2.1987973899201478E-002
+   2.0924205227543746E-002  -7.6522013575130771E-003  -2.5455577585009612E-003
+   7.2437260968171072E-010   4.0454452799999999E-005
+ -0.68052645343902751      -0.21255610959625498        3.6375571604128076E-002
+   5.7676478402592110E-003  -1.9654618148759011E-002  -6.0150804827979417E-004
+   8.9973512337453730E-010   4.2635232500000000E-005
+  0.21153912017632401       0.96910814953928759       -1.5976841060778844E-006
+  -1.6944135164995145E-002   3.6911953785631699E-003   1.4525071481945407E-008
+   9.5498958252779674E-011   2.2707542499999999E-005
+   1.4232971230754801       0.21815483859431103       -3.0416153305576600E-002
+  -1.9274688569975952E-003   1.4590108763912674E-002   3.5304139123317309E-004
+   2.8254526327676804E-007   4.7789450300000003E-004
+   4.0036874054921974        2.9350393270474617      -0.10182563723380476     
+  -4.5629876169643530E-003   6.4471059617920590E-003   7.5448856044019538E-005
+   8.4600347388504292E-008   4.0286669700000002E-004
+   6.4083018390909805        6.5682871940009111      -0.36911425745370574     
+  -4.2912688970106801E-003   3.8914184987695602E-003   1.0289743699759401E-004
+   1.2920737211033427E-008   1.7085136200000001E-004
+   14.430329793174279       -13.735823636348456      -0.23812543891764848     
+   2.6784223946886604E-003   2.6724061291222238E-003  -2.4777620883141212E-005
+   1.5244164811971947E-008   1.6553711599999999E-004
+   16.808300160620913       -24.994308693440338       0.12729909149223279     
+   2.5795430409598025E-003   1.7765162604947151E-003  -9.5908529499802122E-005
diff --git a/python/swiftest/tests/convert_code_type/swift2swifter/swift.in b/python/swiftest/tests/convert_code_type/swift2swifter/swift.in
new file mode 100644
index 000000000..fd99232cf
--- /dev/null
+++ b/python/swiftest/tests/convert_code_type/swift2swifter/swift.in
@@ -0,0 +1,3 @@
+param.swift.in
+pl.swift.in
+tp.swift.in
diff --git a/python/swiftest/tests/convert_code_type/swift2swifter/swift2swifter.py b/python/swiftest/tests/convert_code_type/swift2swifter/swift2swifter.py
new file mode 100644
index 000000000..bd765d90f
--- /dev/null
+++ b/python/swiftest/tests/convert_code_type/swift2swifter/swift2swifter.py
@@ -0,0 +1,14 @@
+import swiftest
+"""
+ Reads in an example parameter file for each of the codes (Swift, Swifter, and Swiftest) and outputs an equivalent
+ parameter file in another code type.
+ 
+ Input files are param.swift[er|est].in and output files are param.[src]2[dest].new, where [src] is the original file type
+ and [dest] is the new one. The user may be prompted to answer questions regarding how to convert between the different
+ simulation types.
+ """
+inparam = "param.swift.in"
+outparam = "param.swift2swifter.new"
+print(f"Reading Swift parameter {inparam} and saving it to {outparam}")
+sim = swiftest.Simulation(source=inparam, codename="Swift")
+oldparam = sim.convert(outparam, newcodename="Swifter", plname="pl.swift2swifter.in", tpname="tp.swift2swifter.in")
\ No newline at end of file
diff --git a/python/swiftest/tests/convert_code_type/swift2swifter/tp.swift.in b/python/swiftest/tests/convert_code_type/swift2swifter/tp.swift.in
new file mode 100644
index 000000000..c63ce7f13
--- /dev/null
+++ b/python/swiftest/tests/convert_code_type/swift2swifter/tp.swift.in
@@ -0,0 +1,201 @@
+          50
+   1.75536839836414      -0.397301559901775      -2.886320950191011E-002
+  2.828957660824792E-003  1.250539366801959E-002 -8.833159624221525E-005
+           0           0           0           0           0           0           0           0           0           0           0           0           0
+ 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
+   1.75462547108338      -0.397439253344038      -5.771762699017597E-002
+  2.826684041441025E-003  1.250497227754510E-002 -1.766362858232247E-004
+           0           0           0           0           0           0           0           0           0           0           0           0           0
+ 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
+   1.75338751027446      -0.397668695834012      -8.655446554537932E-002
+  2.822895444946565E-003  1.250427010264027E-002 -2.648871776719500E-004
+           0           0           0           0           0           0           0           0           0           0           0           0           0
+ 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
+   1.75165489340570      -0.397989817412071      -0.115364933939178     
+  2.817593026527604E-003  1.250328735740620E-002 -3.530573675304868E-004
+           0           0           0           0           0           0           0           0           0           0           0           0           0
+ 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
+   1.74942814808290      -0.398402520292259      -0.144140261060723     
+  2.810778400843813E-003  1.250202434110241E-002 -4.411200127075503E-004
+           0           0           0           0           0           0           0           0           0           0           0           0           0
+ 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
+   1.74670795159950      -0.398906678945642      -0.172871691292285     
+  2.802453640651961E-003  1.250048143789167E-002 -5.290483179262686E-004
+           0           0           0           0           0           0           0           0           0           0           0           0           0
+ 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
+   1.74349513437761      -0.399502139462572      -0.201550453497502     
+  2.792621287336390E-003  1.249865911879178E-002 -6.168154404172742E-004
+           0           0           0           0           0           0           0           0           0           0           0           0           0
+ 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
+   1.73979067424302      -0.400188720613739      -0.230167821489439     
+  2.781284333388745E-003  1.249655793842830E-002 -7.043946749723006E-004
+           0           0           0           0           0           0           0           0           0           0           0           0           0
+ 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
+   1.73559569961003      -0.400966213259897      -0.258715078141622     
+  2.768446232154610E-003  1.249417853684106E-002 -7.917593441112837E-004
+           0           0           0           0           0           0           0           0           0           0           0           0           0
+ 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
+   1.73091148830840      -0.401834380569283      -0.287183527684168     
+  2.754110894243519E-003  1.249152163881874E-002 -8.788828357128555E-004
+           0           0           0           0           0           0           0           0           0           0           0           0           0
+ 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
+   1.72026103118157      -0.389355528881347      -2.828594532477477E-002
+  2.886114093303328E-003  1.275805340156797E-002 -9.011625318008804E-005
+           0           0           0           0           0           0           0           0           0           0           0           0           0
+ 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
+   1.71953296244609      -0.389490468454826      -5.656327447617424E-002
+  2.883794537575375E-003  1.275762349729473E-002 -1.802050560751523E-004
+           0           0           0           0           0           0           0           0           0           0           0           0           0
+ 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
+   1.71831976085279      -0.389715322095103      -8.482337627316461E-002
+  2.879929396047131E-003  1.275690713560546E-002 -2.702389743052803E-004
+           0           0           0           0           0           0           0           0           0           0           0           0           0
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+   1.59243857233884      -0.369687630842276      -0.264208845982959     
+  2.984003900096668E-003  1.353422237509990E-002 -9.522455377438729E-004
+           0           0           0           0           0           0           0           0           0           0           0           0           0
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diff --git a/python/swiftest/tests/convert_code_type/swift2swiftest/param.swift.in b/python/swiftest/tests/convert_code_type/swift2swiftest/param.swift.in
new file mode 100644
index 000000000..3f9822a58
--- /dev/null
+++ b/python/swiftest/tests/convert_code_type/swift2swiftest/param.swift.in
@@ -0,0 +1,6 @@
+.0d0 365.25d9 5.0d0
+365.25d5  365.25d5 
+F T F F T F
+4.68d-03 100.0 -1.0 4.68d-03 T
+bin.dat
+unknown
diff --git a/python/swiftest/tests/convert_code_type/swift2swiftest/pl.swift.in b/python/swiftest/tests/convert_code_type/swift2swiftest/pl.swift.in
new file mode 100644
index 000000000..4d479d3cf
--- /dev/null
+++ b/python/swiftest/tests/convert_code_type/swift2swiftest/pl.swift.in
@@ -0,0 +1,28 @@
+	8
+   2.9592338592955439E-004
+   0.0000000000000000        0.0000000000000000        0.0000000000000000     
+   0.0000000000000000        0.0000000000000000        0.0000000000000000     
+   4.9127330156310911E-011   1.6308387199999999E-005
+ -0.15273942296363005      -0.44077188683118762       -2.1987973899201478E-002
+   2.0924205227543746E-002  -7.6522013575130771E-003  -2.5455577585009612E-003
+   7.2437260968171072E-010   4.0454452799999999E-005
+ -0.68052645343902751      -0.21255610959625498        3.6375571604128076E-002
+   5.7676478402592110E-003  -1.9654618148759011E-002  -6.0150804827979417E-004
+   8.9973512337453730E-010   4.2635232500000000E-005
+  0.21153912017632401       0.96910814953928759       -1.5976841060778844E-006
+  -1.6944135164995145E-002   3.6911953785631699E-003   1.4525071481945407E-008
+   9.5498958252779674E-011   2.2707542499999999E-005
+   1.4232971230754801       0.21815483859431103       -3.0416153305576600E-002
+  -1.9274688569975952E-003   1.4590108763912674E-002   3.5304139123317309E-004
+   2.8254526327676804E-007   4.7789450300000003E-004
+   4.0036874054921974        2.9350393270474617      -0.10182563723380476     
+  -4.5629876169643530E-003   6.4471059617920590E-003   7.5448856044019538E-005
+   8.4600347388504292E-008   4.0286669700000002E-004
+   6.4083018390909805        6.5682871940009111      -0.36911425745370574     
+  -4.2912688970106801E-003   3.8914184987695602E-003   1.0289743699759401E-004
+   1.2920737211033427E-008   1.7085136200000001E-004
+   14.430329793174279       -13.735823636348456      -0.23812543891764848     
+   2.6784223946886604E-003   2.6724061291222238E-003  -2.4777620883141212E-005
+   1.5244164811971947E-008   1.6553711599999999E-004
+   16.808300160620913       -24.994308693440338       0.12729909149223279     
+   2.5795430409598025E-003   1.7765162604947151E-003  -9.5908529499802122E-005
diff --git a/python/swiftest/tests/convert_code_type/swift2swiftest/swift.in b/python/swiftest/tests/convert_code_type/swift2swiftest/swift.in
new file mode 100644
index 000000000..fd99232cf
--- /dev/null
+++ b/python/swiftest/tests/convert_code_type/swift2swiftest/swift.in
@@ -0,0 +1,3 @@
+param.swift.in
+pl.swift.in
+tp.swift.in
diff --git a/python/swiftest/tests/convert_code_type/swift2swiftest/swift2swiftest.py b/python/swiftest/tests/convert_code_type/swift2swiftest/swift2swiftest.py
new file mode 100644
index 000000000..6234dc61a
--- /dev/null
+++ b/python/swiftest/tests/convert_code_type/swift2swiftest/swift2swiftest.py
@@ -0,0 +1,14 @@
+import swiftest
+"""
+ Reads in an example parameter file for each of the codes (Swift, Swifter, and Swiftest) and outputs an equivalent
+ parameter file in another code type.
+ 
+ Input files are param.swift[er|est].in and output files are param.[src]2[dest].new, where [src] is the original file type
+ and [dest] is the new one. The user may be prompted to answer questions regarding how to convert between the different
+ simulation types.
+ """
+inparam = "param.swift.in"
+outparam = "param.swift2swiftest.new"
+print(f"Reading Swift parameter {inparam} and saving it to {outparam}")
+sim = swiftest.Simulation(source=inparam, codename="Swift")
+oldparam = sim.convert(outparam, newcodename="Swiftest", plname="pl.swift2swiftest.in", tpname="tp.swift2swiftest.in", cbname="cb.swift2swiftest.in")
\ No newline at end of file
diff --git a/python/swiftest/tests/convert_code_type/swift2swiftest/tp.swift.in b/python/swiftest/tests/convert_code_type/swift2swiftest/tp.swift.in
new file mode 100644
index 000000000..c63ce7f13
--- /dev/null
+++ b/python/swiftest/tests/convert_code_type/swift2swiftest/tp.swift.in
@@ -0,0 +1,201 @@
+          50
+   1.75536839836414      -0.397301559901775      -2.886320950191011E-002
+  2.828957660824792E-003  1.250539366801959E-002 -8.833159624221525E-005
+           0           0           0           0           0           0           0           0           0           0           0           0           0
+ 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
+   1.75462547108338      -0.397439253344038      -5.771762699017597E-002
+  2.826684041441025E-003  1.250497227754510E-002 -1.766362858232247E-004
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+   1.75338751027446      -0.397668695834012      -8.655446554537932E-002
+  2.822895444946565E-003  1.250427010264027E-002 -2.648871776719500E-004
+           0           0           0           0           0           0           0           0           0           0           0           0           0
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+   1.75165489340570      -0.397989817412071      -0.115364933939178     
+  2.817593026527604E-003  1.250328735740620E-002 -3.530573675304868E-004
+           0           0           0           0           0           0           0           0           0           0           0           0           0
+ 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
+   1.74942814808290      -0.398402520292259      -0.144140261060723     
+  2.810778400843813E-003  1.250202434110241E-002 -4.411200127075503E-004
+           0           0           0           0           0           0           0           0           0           0           0           0           0
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diff --git a/python/swiftest/tests/convert_code_type/swifter2swiftest/param.swifter.in b/python/swiftest/tests/convert_code_type/swifter2swiftest/param.swifter.in
new file mode 100644
index 000000000..5d250c0b1
--- /dev/null
+++ b/python/swiftest/tests/convert_code_type/swifter2swiftest/param.swifter.in
@@ -0,0 +1,26 @@
+! Swifter input file generated using init_cond.py
+T0            0 
+TSTOP         80.0  
+DT            1.0
+PL_IN         pl.swifter.in
+TP_IN         tp.swifter.in
+IN_TYPE       ASCII
+ISTEP_OUT     1
+ISTEP_DUMP    1
+BIN_OUT       bin.dat
+OUT_TYPE      REAL8
+OUT_FORM      XV
+OUT_STAT      NEW
+J2            4.7535806948127355e-12
+J4            -2.2473967953572827e-18
+CHK_CLOSE     yes
+CHK_RMIN      0.004650467260962157
+CHK_RMAX      1000.0
+CHK_EJECT     1000.0
+CHK_QMIN      0.004650467260962157
+CHK_QMIN_COORD HELIO
+CHK_QMIN_RANGE 0.004650467260962157 1000.0
+ENC_OUT        enc.dat
+EXTRA_FORCE    no
+BIG_DISCARD    no
+RHILL_PRESENT  yes
diff --git a/python/swiftest/tests/convert_code_type/swifter2swiftest/pl.swifter.in b/python/swiftest/tests/convert_code_type/swifter2swiftest/pl.swifter.in
new file mode 100644
index 000000000..b98db89c9
--- /dev/null
+++ b/python/swiftest/tests/convert_code_type/swifter2swiftest/pl.swifter.in
@@ -0,0 +1,40 @@
+10
+1 0.00029591220819207775568
+0.0 0.0 0.0
+0.0 0.0 0.0
+2 4.9125474498983625e-11 0.0014751258227142052 ! mercury
+1.6306381826061646e-05
+0.008059842448018334 -0.4616051037329109 -0.03846017738329229
+0.02248719132054853 0.001934639213990692 -0.001904656977422976
+3 7.243452483873647e-10 0.006759134232034942 ! venus
+4.0453784346544176e-05
+-0.5115875215389065 0.5030818749037324 0.03642547299277956
+-0.01425515725454357 -0.01452868630179309 0.0006232072038298823
+4 8.997011382166019e-10 0.010044625087011913 ! earthmoon
+4.25875607065041e-05
+-0.1090020607540907 -1.009893805009766 4.823302918632528e-05
+0.01682491922568941 -0.001910549762056979 3.992660742687128e-08
+5 9.549535102761465e-11 0.007246789790242477 ! mars
+2.2657408050928896e-05
+-1.342897929331636 0.9778655112682739 0.05343398538723887
+-0.007712315645393206 -0.01011917844182223 -2.287744801261131e-05
+6 2.8253459086313547e-07 0.3552720805286442 ! jupiter
+0.0004673261703049093
+3.923184193414315 -3.168419770483168 -0.0746147877972047
+0.004655552638985802 0.006232623300954468 -0.0001300429201057457
+7 8.459715183006416e-08 0.4376460836930155 ! saturn
+0.00038925687730393614
+6.185794462795267 -7.804174837804826 -0.110498432926239
+0.004066833203985018 0.003458637040736611 -0.0002219310939327014
+8 1.2920249163736674e-08 0.46946272948265794 ! uranus
+0.00016953449859497232
+14.9290976575471 12.92949673572929 -0.1454099139559955
+-0.002599557960646664 0.002795888198858545 4.391864857782088e-05
+9 1.5243589003230834e-08 0.7811947848333599 ! neptune
+0.00016458790412449367
+29.54416169025338 -4.716921603714237 -0.5838030174427992
+0.0004792636209523189 0.00312573757291745 -7.53264045199501e-05
+10 2.1919422829042796e-12 0.05379680851617536 ! plutocharon
+7.943294877391593e-06
+14.54448346259197 -31.05223519593471 -0.8828000265625595
+0.002923077617691739 0.0006625916902153526 -0.0009142553677224461
diff --git a/python/swiftest/tests/convert_code_type/swifter2swiftest/swifter2swiftest.py b/python/swiftest/tests/convert_code_type/swifter2swiftest/swifter2swiftest.py
new file mode 100644
index 000000000..4cc62bf8f
--- /dev/null
+++ b/python/swiftest/tests/convert_code_type/swifter2swiftest/swifter2swiftest.py
@@ -0,0 +1,14 @@
+import swiftest
+"""
+ Reads in an example parameter file for each of the codes (Swift, Swifter, and Swiftest) and outputs an equivalent
+ parameter file in another code type.
+ 
+ Input files are param.swift[er|est].in and output files are param.[src]2[dest].new, where [src] is the original file type
+ and [dest] is the new one. The user may be prompted to answer questions regarding how to convert between the different
+ simulation types.
+ """
+inparam = "param.swifter.in"
+outparam = "param.swifter2swiftest.new"
+print(f"Reading Swift parameter {inparam} and saving it to {outparam}")
+sim = swiftest.Simulation(source=inparam, codename="Swifter")
+oldparam = sim.convert(outparam, newcodename="Swiftest", plname="pl.swifter2swiftest.in", tpname="tp.swifter2swiftest.in", cbname="cb.swifter2swiftest.in")
\ No newline at end of file
diff --git a/python/swiftest/tests/convert_code_type/swifter2swiftest/tp.swifter.in b/python/swiftest/tests/convert_code_type/swifter2swiftest/tp.swifter.in
new file mode 100644
index 000000000..9c026369e
--- /dev/null
+++ b/python/swiftest/tests/convert_code_type/swifter2swiftest/tp.swifter.in
@@ -0,0 +1,4 @@
+1
+100
+1.01 0.0 0.0
+0.0 6.252003053624663 0.0
diff --git a/python/swiftest/tests/param_readers/param.swift.in b/python/swiftest/tests/param_readers/param.swift.in
new file mode 100644
index 000000000..3f9822a58
--- /dev/null
+++ b/python/swiftest/tests/param_readers/param.swift.in
@@ -0,0 +1,6 @@
+.0d0 365.25d9 5.0d0
+365.25d5  365.25d5 
+F T F F T F
+4.68d-03 100.0 -1.0 4.68d-03 T
+bin.dat
+unknown
diff --git a/python/swiftest/tests/param_readers/param.swifter.in b/python/swiftest/tests/param_readers/param.swifter.in
new file mode 100644
index 000000000..5834d2dcc
--- /dev/null
+++ b/python/swiftest/tests/param_readers/param.swifter.in
@@ -0,0 +1,26 @@
+! Swifter input file generated using init_cond.py
+T0            0 
+TSTOP         1.0
+DT            0.0006844626967830253
+PL_IN         pl.swifter.in
+TP_IN         tp.swifter.in
+IN_TYPE       ASCII
+ISTEP_OUT     1
+ISTEP_DUMP    1
+BIN_OUT       bin.swifter.dat
+OUT_TYPE      REAL8
+OUT_FORM      EL
+OUT_STAT      NEW
+J2            4.7535806948127355e-12
+J4            -2.2473967953572827e-18
+CHK_CLOSE     yes
+CHK_RMIN      0.004650467260962157
+CHK_RMAX      1000.0
+CHK_EJECT     1000.0
+CHK_QMIN      0.004650467260962157
+CHK_QMIN_COORD HELIO
+CHK_QMIN_RANGE 0.004650467260962157 1000.0
+ENC_OUT        enc.swifter.dat
+EXTRA_FORCE    no
+BIG_DISCARD    no
+RHILL_PRESENT  yes
diff --git a/python/swiftest/tests/param_readers/param.swiftest.in b/python/swiftest/tests/param_readers/param.swiftest.in
new file mode 100644
index 000000000..6e623a5dd
--- /dev/null
+++ b/python/swiftest/tests/param_readers/param.swiftest.in
@@ -0,0 +1,29 @@
+! Swiftest input file generated using init_cond.py
+T0             0 
+TSTOP          1.0
+DT             0.0006844626967830253
+CB_IN          cb.swiftest.in
+PL_IN          pl.swiftest.in
+TP_IN          tp.swiftest.in
+IN_TYPE        REAL8
+ISTEP_OUT      1
+ISTEP_DUMP     1
+BIN_OUT        bin.swiftest.dat
+OUT_TYPE       REAL8
+OUT_FORM       EL
+OUT_STAT       REPLACE
+CHK_CLOSE      yes
+CHK_RMIN       0.004650467260962157
+CHK_RMAX       1000.0
+CHK_EJECT      1000.0
+CHK_QMIN       0.004650467260962157
+CHK_QMIN_COORD HELIO
+CHK_QMIN_RANGE 0.004650467260962157 1000.0
+ENC_OUT        enc.swiftest.dat
+EXTRA_FORCE    no
+BIG_DISCARD    no
+ROTATION       no
+GR             no
+MU2KG          1.988409870698051e+30
+DU2M           149597870700.0
+TU2S           31557600.0
diff --git a/python/swiftest/tests/param_readers/param_readers.py b/python/swiftest/tests/param_readers/param_readers.py
new file mode 100644
index 000000000..d940eecc3
--- /dev/null
+++ b/python/swiftest/tests/param_readers/param_readers.py
@@ -0,0 +1,24 @@
+import swiftest
+"""
+ Reads in an example parameter file for each of the codes (Swift, Swifter, and Swiftest) and outputs a copy using the
+ internal parsing system. Input files are param.swift[er|est].in and output files are param.swift[er|est].new.
+ The contents of the parameter files should be the same, though the new version may be formatted differently and also
+ contain explicit values for default parameters.
+ """
+inparam = "param.swift.in"
+outparam = "param.swift.new"
+print(f"Reading Swift parameter {inparam} and saving it to {outparam}")
+sim = swiftest.Simulation(source=inparam, codename="Swift")
+sim.write_param(outparam)
+
+inparam = "param.swifter.in"
+outparam = "param.swifter.new"
+print(f"Reading Swifter parameter {inparam} and saving it to {outparam}")
+sim = swiftest.Simulation(source=inparam, codename="Swifter")
+sim.write_param(outparam)
+
+inparam = "param.swiftest.in"
+outparam = "param.swiftest.new"
+print(f"Reading Swifter parameter {inparam} and saving it to {outparam}")
+sim = swiftest.Simulation(source=inparam) # The default value of codename is "Swiftest"
+sim.write_param(outparam)
\ No newline at end of file
diff --git a/python/swiftestio/.ipynb_checkpoints/mars-scatter-checkpoint.ipynb b/python/swiftestio/.ipynb_checkpoints/mars-scatter-checkpoint.ipynb
deleted file mode 100644
index 421bdbc35..000000000
--- a/python/swiftestio/.ipynb_checkpoints/mars-scatter-checkpoint.ipynb
+++ /dev/null
@@ -1,1600 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 155,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import numpy as np\n",
-    "import swiftestio as swio\n",
-    "import matplotlib.pyplot as plt\n",
-    "import timeit"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 352,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "workingdir = '/Users/daminton/work/Projects/Swiftest/Pouplin-Mars-Disk/high_high_1500_1/'"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 353,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def readswifter(inparfile):\n",
-    "    inparfile = workingdir + inparfile\n",
-    "    param = {}\n",
-    "    param = swio.read_swifter_param(inparfile)\n",
-    "    param['BIN_OUT'] = workingdir + param['BIN_OUT']\n",
-    "    ds = swio.swifter2xr(param)\n",
-    "    return ds"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 354,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def readswiftest(config_file_name):\n",
-    "    config_file_name = workingdir + config_file_name\n",
-    "    config = {}\n",
-    "    config = swio.read_swiftest_config(config_file_name)\n",
-    "    config['BIN_OUT'] = workingdir + config['BIN_OUT']\n",
-    "    ds = swio.swiftest2xr(config)\n",
-    "    ds['Mass'] = ds['Mass'] * config['GU']\n",
-    "    return ds"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 355,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Reading Swiftest file /Users/daminton/work/Projects/Swiftest/Pouplin-Mars-Disk/high_high_1500_1/param.in\n"
-     ]
-    },
-    {
-     "ename": "ValueError",
-     "evalue": "Size obtained (4) is not a multiple of the dtypes given (8).",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-355-78e23226f628>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mdisk\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mreadswiftest\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'param.in'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
-      "\u001b[0;32m<ipython-input-354-3d223adef634>\u001b[0m in \u001b[0;36mreadswiftest\u001b[0;34m(config_file_name)\u001b[0m\n\u001b[1;32m      4\u001b[0m     \u001b[0mconfig\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mswio\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread_swiftest_config\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mconfig_file_name\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m     \u001b[0mconfig\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'BIN_OUT'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mworkingdir\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mconfig\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'BIN_OUT'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 6\u001b[0;31m     \u001b[0mds\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mswio\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mswiftest2xr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mconfig\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      7\u001b[0m     \u001b[0mds\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'Mass'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mds\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'Mass'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m*\u001b[0m \u001b[0mconfig\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'GU'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      8\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0mds\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/git/swiftest/python/swiftestio/swiftestio.py\u001b[0m in \u001b[0;36mswiftest2xr\u001b[0;34m(config)\u001b[0m\n",
-      "\u001b[0;32m~/git/swiftest/python/swiftestio/swiftestio.py\u001b[0m in \u001b[0;36mswiftest_stream\u001b[0;34m(f, config)\u001b[0m\n\u001b[1;32m    356\u001b[0m             \u001b[0mtlab\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'omega'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    357\u001b[0m             \u001b[0mtlab\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'capm'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 358\u001b[0;31m         \u001b[0mplab\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtlab\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcopy\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    359\u001b[0m         \u001b[0mplab\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'Mass'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    360\u001b[0m         \u001b[0mplab\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'Radius'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/Library/Python/3.7/lib/python/site-packages/scipy/io/_fortran.py\u001b[0m in \u001b[0;36mread_reals\u001b[0;34m(self, dtype)\u001b[0m\n\u001b[1;32m    300\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    301\u001b[0m         \"\"\"\n\u001b[0;32m--> 302\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread_record\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdtype\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    303\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    304\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mclose\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/Library/Python/3.7/lib/python/site-packages/scipy/io/_fortran.py\u001b[0m in \u001b[0;36mread_record\u001b[0;34m(self, *dtypes, **kwargs)\u001b[0m\n\u001b[1;32m    225\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mremainder\u001b[0m \u001b[0;34m!=\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    226\u001b[0m             raise ValueError('Size obtained ({0}) is not a multiple of the '\n\u001b[0;32m--> 227\u001b[0;31m                              'dtypes given ({1}).'.format(first_size, block_size))\n\u001b[0m\u001b[1;32m    228\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    229\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdtypes\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m!=\u001b[0m \u001b[0;36m1\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mfirst_size\u001b[0m \u001b[0;34m!=\u001b[0m \u001b[0mblock_size\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;31mValueError\u001b[0m: Size obtained (4) is not a multiple of the dtypes given (8)."
-     ]
-    }
-   ],
-   "source": [
-    "disk = readswiftest('param.in')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 349,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "diffxv = np.abs(swifterxv - swiftestxv)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 350,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Text(0, 0.5, 'Swifter - Swiftest: $\\\\Delta$')"
-      ]
-     },
-     "execution_count": 350,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 720x432 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "fig = plt.figure(1, figsize=(10,6))\n",
-    "ax = fig.add_subplot(111)\n",
-    "pnum = 103\n",
-    "diffxv['px'].sel(id=[pnum]).plot.line(x='time',add_legend=False,label='$x$')\n",
-    "diffxv['py'].sel(id=[pnum]).plot.line(x='time',add_legend=False,label='$y$')\n",
-    "diffxv['pz'].sel(id=[pnum]).plot.line(x='time',add_legend=False,label='$z$')\n",
-    "diffxv['vx'].sel(id=[pnum]).plot.line(x='time',add_legend=False,label='$v_x$')\n",
-    "diffxv['vy'].sel(id=[pnum]).plot.line(x='time',add_legend=False,label='$v_y$')\n",
-    "diffxv['vz'].sel(id=[pnum]).plot.line(x='time',add_legend=False,label='$v_z$')\n",
-    "ax.legend()\n",
-    "plt.rcParams.update({'font.size': 18})\n",
-    "#ax.set_yscale('log')\n",
-    "#plt.ylim((-1e-6,1e-6))\n",
-    "ax.set_ylabel(\"Swifter - Swiftest: $\\Delta$\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 351,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
-       "<defs>\n",
-       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
-       "<title>Show/Hide data repr</title>\n",
-       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
-       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
-       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
-       "</symbol>\n",
-       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
-       "<title>Show/Hide attributes</title>\n",
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-       "\n",
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-       "</style><div class='xr-wrap'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'vx'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 101</li><li><span class='xr-has-index'>id</span>: 1</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-56d2b7a3-11ec-4a83-97f7-3a422bd38925' class='xr-array-in' type='checkbox' ><label for='section-56d2b7a3-11ec-4a83-97f7-3a422bd38925' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0</span></div><pre class='xr-array-data'>array([[0.],\n",
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-       "       [0.]])</pre></div></li><li class='xr-section-item'><input id='section-416bc3d1-0532-41d1-9209-694b0bfe7343' class='xr-section-summary-in' type='checkbox'  checked><label for='section-416bc3d1-0532-41d1-9209-694b0bfe7343' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>id</span></div><div class='xr-var-dims'>(id)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>103</div><input id='attrs-0829c9ec-9ffd-4420-b586-df60178f8a0a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0829c9ec-9ffd-4420-b586-df60178f8a0a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e66b89c7-01ef-402c-9196-3e035c4530d4' class='xr-var-data-in' type='checkbox'><label for='data-e66b89c7-01ef-402c-9196-3e035c4530d4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><pre class='xr-var-data'>array([103])</pre></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0 3.0 ... 98.0 99.0 100.0</div><input id='attrs-14429d7b-6788-4bb6-b184-37d67664ba29' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-14429d7b-6788-4bb6-b184-37d67664ba29' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4ce48129-5d8e-4427-9b55-c837a6ff381c' class='xr-var-data-in' type='checkbox'><label for='data-4ce48129-5d8e-4427-9b55-c837a6ff381c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><pre class='xr-var-data'>array([  0.,   1.,   2.,   3.,   4.,   5.,   6.,   7.,   8.,   9.,  10.,  11.,\n",
-       "        12.,  13.,  14.,  15.,  16.,  17.,  18.,  19.,  20.,  21.,  22.,  23.,\n",
-       "        24.,  25.,  26.,  27.,  28.,  29.,  30.,  31.,  32.,  33.,  34.,  35.,\n",
-       "        36.,  37.,  38.,  39.,  40.,  41.,  42.,  43.,  44.,  45.,  46.,  47.,\n",
-       "        48.,  49.,  50.,  51.,  52.,  53.,  54.,  55.,  56.,  57.,  58.,  59.,\n",
-       "        60.,  61.,  62.,  63.,  64.,  65.,  66.,  67.,  68.,  69.,  70.,  71.,\n",
-       "        72.,  73.,  74.,  75.,  76.,  77.,  78.,  79.,  80.,  81.,  82.,  83.,\n",
-       "        84.,  85.,  86.,  87.,  88.,  89.,  90.,  91.,  92.,  93.,  94.,  95.,\n",
-       "        96.,  97.,  98.,  99., 100.])</pre></li></ul></div></li><li class='xr-section-item'><input id='section-129d7b61-ede9-4968-8a0d-0afe96c0d2a7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-129d7b61-ede9-4968-8a0d-0afe96c0d2a7' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
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-     "execution_count": 351,
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-     "text": [
-      "Reading Swifter file /Users/daminton/work/Projects/Swiftest/swiftest_whm_test/solar_system_plus_3tp/param.el.in\n"
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-     "output_type": "stream",
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-       "       [0.2056476 ],\n",
-       "       [0.20565571],\n",
-       "       [0.20564613],\n",
-       "       [0.20563473]])</pre></div></li><li class='xr-section-item'><input id='section-0c7272d6-83b4-4e9f-81e5-328f92907131' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0c7272d6-83b4-4e9f-81e5-328f92907131' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>id</span></div><div class='xr-var-dims'>(id)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>2</div><input id='attrs-9514434c-b4cf-4445-bbb1-56b4b06b59b4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9514434c-b4cf-4445-bbb1-56b4b06b59b4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ee9412f5-d926-4528-864f-5b8333ad1fe1' class='xr-var-data-in' type='checkbox'><label for='data-ee9412f5-d926-4528-864f-5b8333ad1fe1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><pre class='xr-var-data'>array([2])</pre></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 100.0 200.0 300.0 400.0</div><input id='attrs-62eb5766-6fff-4be1-a1f1-cd97aec44337' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-62eb5766-6fff-4be1-a1f1-cd97aec44337' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3c2c85d5-1262-40a5-9c73-df227590a1df' class='xr-var-data-in' type='checkbox'><label for='data-3c2c85d5-1262-40a5-9c73-df227590a1df' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><pre class='xr-var-data'>array([  0., 100., 200., 300., 400.])</pre></li></ul></div></li><li class='xr-section-item'><input id='section-a0f8ca9c-dace-4f2f-a95a-b23ff3a307d4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a0f8ca9c-dace-4f2f-a95a-b23ff3a307d4' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
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-       "<xarray.DataArray 'e' (time: 5, id: 1)>\n",
-       "array([[0.20563512],\n",
-       "       [0.2056476 ],\n",
-       "       [0.20565571],\n",
-       "       [0.20564613],\n",
-       "       [0.20563473]])\n",
-       "Coordinates:\n",
-       "  * id       (id) int64 2\n",
-       "  * time     (time) float64 0.0 100.0 200.0 300.0 400.0"
-      ]
-     },
-     "execution_count": 283,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "swiftestel['e'].sel(id=[2])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 284,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "diffel = swifterel - swiftestel"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 285,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
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-       "  display: none;\n",
-       "  background-color: var(--xr-background-color) !important;\n",
-       "  padding-bottom: 5px !important;\n",
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-       "\n",
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-       "  padding-left: 25px !important;\n",
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-       "\n",
-       ".xr-attrs,\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data {\n",
-       "  grid-column: 1 / -1;\n",
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-       "\n",
-       "dl.xr-attrs {\n",
-       "  padding: 0;\n",
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-       "  display: grid;\n",
-       "  grid-template-columns: 125px auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt, dd {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  float: left;\n",
-       "  padding-right: 10px;\n",
-       "  width: auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt {\n",
-       "  font-weight: normal;\n",
-       "  grid-column: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt:hover span {\n",
-       "  display: inline-block;\n",
-       "  background: var(--xr-background-color);\n",
-       "  padding-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dd {\n",
-       "  grid-column: 2;\n",
-       "  white-space: pre-wrap;\n",
-       "  word-break: break-all;\n",
-       "}\n",
-       "\n",
-       ".xr-icon-database,\n",
-       ".xr-icon-file-text2 {\n",
-       "  display: inline-block;\n",
-       "  vertical-align: middle;\n",
-       "  width: 1em;\n",
-       "  height: 1.5em !important;\n",
-       "  stroke-width: 0;\n",
-       "  stroke: currentColor;\n",
-       "  fill: currentColor;\n",
-       "}\n",
-       "</style><div class='xr-wrap'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'e'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 5</li><li><span class='xr-has-index'>id</span>: 1</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-7257afd3-4a53-4886-94fe-3bc91bf393e7' class='xr-array-in' type='checkbox' ><label for='section-7257afd3-4a53-4886-94fe-3bc91bf393e7' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.0 3.434e-08 -4.801e-07 -1.546e-07 -2.212e-07</span></div><pre class='xr-array-data'>array([[ 0.00000000e+00],\n",
-       "       [ 3.43417110e-08],\n",
-       "       [-4.80051157e-07],\n",
-       "       [-1.54617024e-07],\n",
-       "       [-2.21233928e-07]])</pre></div></li><li class='xr-section-item'><input id='section-34b25b11-52a8-4dbd-b39b-625b69605279' class='xr-section-summary-in' type='checkbox'  checked><label for='section-34b25b11-52a8-4dbd-b39b-625b69605279' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>id</span></div><div class='xr-var-dims'>(id)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>2</div><input id='attrs-e80ee098-411c-4c36-a502-3e464b2dd2be' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e80ee098-411c-4c36-a502-3e464b2dd2be' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-02e47d98-802d-4908-a9ba-b6418f177f8e' class='xr-var-data-in' type='checkbox'><label for='data-02e47d98-802d-4908-a9ba-b6418f177f8e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><pre class='xr-var-data'>array([2])</pre></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 100.0 200.0 300.0 400.0</div><input id='attrs-83b0a27b-7957-49dc-b6f5-0143ae0d10db' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-83b0a27b-7957-49dc-b6f5-0143ae0d10db' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ad7b91e5-a503-4010-b72e-b04b97220e06' class='xr-var-data-in' type='checkbox'><label for='data-ad7b91e5-a503-4010-b72e-b04b97220e06' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><pre class='xr-var-data'>array([  0., 100., 200., 300., 400.])</pre></li></ul></div></li><li class='xr-section-item'><input id='section-8081f5eb-9bab-41df-8b00-86a405e5cb8a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8081f5eb-9bab-41df-8b00-86a405e5cb8a' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
-      ],
-      "text/plain": [
-       "<xarray.DataArray 'e' (time: 5, id: 1)>\n",
-       "array([[ 0.00000000e+00],\n",
-       "       [ 3.43417110e-08],\n",
-       "       [-4.80051157e-07],\n",
-       "       [-1.54617024e-07],\n",
-       "       [-2.21233928e-07]])\n",
-       "Coordinates:\n",
-       "  * id       (id) int64 2\n",
-       "  * time     (time) float64 0.0 100.0 200.0 300.0 400.0"
-      ]
-     },
-     "execution_count": 285,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "diffel['e'].sel(id=[2])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 286,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Text(0, 0.5, 'Swifter - Swiftest: $\\\\Delta$')"
-      ]
-     },
-     "execution_count": 286,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
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\n",
-      "text/plain": [
-       "<Figure size 720x432 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "fig = plt.figure(1, figsize=(10,6))\n",
-    "ax = fig.add_subplot(111)\n",
-    "pnum = 102\n",
-    "diffel['a'].sel(id=[pnum]).plot.line(x='time',add_legend=False,label='$a$')\n",
-    "diffel['e'].sel(id=[pnum]).plot.line(x='time',add_legend=False,label='$e$')\n",
-    "diffel['inc'].sel(id=[pnum]).plot.line(x='time',add_legend=False,label='$i$')\n",
-    "diffel['capom'].sel(id=[pnum]).plot.line(x='time',add_legend=False,label='$\\Omega$')\n",
-    "diffel['omega'].sel(id=[pnum]).plot.line(x='time',add_legend=False,label='$\\omega$')\n",
-    "diffel['capm'].sel(id=[pnum]).plot.line(x='time',add_legend=False,label='$M$')\n",
-    "ax.legend()\n",
-    "plt.rcParams.update({'font.size': 18})\n",
-    "#plt.ylim((-1e-15,1e-15))\n",
-    "ax.set_ylabel(\"Swifter - Swiftest: $\\Delta$\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.7.3"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
diff --git a/python/swiftestio/.ipynb_checkpoints/testreader-checkpoint.ipynb b/python/swiftestio/.ipynb_checkpoints/testreader-checkpoint.ipynb
deleted file mode 100644
index 2fd64429b..000000000
--- a/python/swiftestio/.ipynb_checkpoints/testreader-checkpoint.ipynb
+++ /dev/null
@@ -1,6 +0,0 @@
-{
- "cells": [],
- "metadata": {},
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/python/swiftestio/README.md b/python/swiftestio/README.md
deleted file mode 100644
index e3c0a1ae3..000000000
--- a/python/swiftestio/README.md
+++ /dev/null
@@ -1 +0,0 @@
-swiftestio
diff --git a/python/swiftestio/__init__.py b/python/swiftestio/__init__.py
deleted file mode 100644
index e69de29bb..000000000
diff --git a/python/swiftestio/swiftestio.py b/python/swiftestio/swiftestio.py
deleted file mode 100644
index f56c41546..000000000
--- a/python/swiftestio/swiftestio.py
+++ /dev/null
@@ -1,837 +0,0 @@
-import numpy as np
-import pandas as pd
-from scipy.io import FortranFile
-import xarray as xr
-from astroquery.jplhorizons import Horizons
-import astropy.constants as const
-import datetime
-import sys
-from swiftestpy import orbel
-
-# Constants in SI units
-AU2M = np.longdouble(const.au.value)
-GMSunSI = np.longdouble(const.GM_sun.value)
-RSun = np.longdouble(const.R_sun.value)
-GC = np.longdouble(const.G.value)
-JD2S = 86400
-year = np.longdouble(365.25 * JD2S)
-einsteinC = np.longdouble(299792458.0)
-# Solar oblatenes values: From Mecheri et al. (2004), using Corbard (b) 2002 values (Table II)
-J2Sun = np.longdouble(2.198e-7)
-J4Sun = np.longdouble(-4.805e-9)
-
-def read_swifter_param(inparfile):
-   """
-   Reads in a Swifter param.in file and saves it as a dictionary
-
-   Parameters
-   ----------
-   inparfile : string
-      File name of the input parameter file
-
-   Returns
-   -------
-   param
-      A dictionary containing the entries in the user parameter file
-   """
-   param = {
-   'INPARFILE'     : inparfile,
-   'NPLMAX'       : -1,
-   'NTPMAX'       : -1,
-   'T0'          : 0.0,
-   'TSTOP'        : 0.0,
-   'DT'          : 0.0,
-   'PL_IN'        : "",
-   'TP_IN'        : "",
-   'IN_TYPE'      : "ASCII",
-   'ISTEP_OUT'     : -1,
-   'BIN_OUT'      : "",
-   'OUT_TYPE'      : 'REAL8',
-   'OUT_FORM'      : "XV",
-   'OUT_STAT'      : "NEW",
-   'ISTEP_DUMP'    : -1,
-   'J2'          : 0.0,
-   'J4'          : 0.0,
-   'CHK_CLOSE'     : 'NO',
-   'CHK_RMIN'      : -1.0,
-   'CHK_RMAX'      : -1.0,
-   'CHK_EJECT'     : -1.0,
-   'CHK_QMIN'      : -1.0,
-   'CHK_QMIN_COORD' : "HELIO",
-   'CHK_QMIN_RANGE' : "",
-   'QMIN_ALO'      : -1.0,
-   'QMIN_AHI'      : -1.0,
-   'ENC_OUT'      : "",
-   'EXTRA_FORCE'   : 'NO',
-   'BIG_DISCARD'   : 'NO',
-   'RHILL_PRESENT'  : 'NO',
-   'GR'          : 'NO',
-   'C2'          : -1.0,
-          }
-
-   # Read param.in file
-   print(f'Reading Swifter file {inparfile}')
-   f = open(inparfile, 'r')
-   swifterlines = f.readlines()
-   f.close()
-   for line in swifterlines:
-      fields = line.split()
-      if len(fields) > 0:
-         for key in param:
-            if (key == fields[0].upper()): param[key] = fields[1]
-         #Special case of CHK_QMIN_RANGE requires a second input
-         if (param['CHK_QMIN_RANGE'] == fields[0].upper()):
-            param['QMIN_ALO'] = fields[1]
-            param['QMIN_AHI'] = fields[2]
-
-   param['NPLMAX']    = int(param['NPLMAX'])
-   param['NTPMAX']    = int(param['NTPMAX'])
-   param['ISTEP_OUT']  = int(param['ISTEP_OUT'])
-   param['ISTEP_DUMP'] = int(param['ISTEP_DUMP'])
-   param['T0']       = float(param['T0'])
-   param['TSTOP']     = float(param['TSTOP'])
-   param['DT']       = float(param['DT'])
-   param['J2']       = float(param['J2'])
-   param['J4']       = float(param['J4'])
-   param['CHK_RMIN']   = float(param['CHK_RMIN'])
-   param['CHK_RMAX']   = float(param['CHK_RMAX'])
-   param['CHK_EJECT']  = float(param['CHK_EJECT'])
-   param['CHK_QMIN']   = float(param['CHK_QMIN'])
-   param['QMIN_ALO']   = float(param['QMIN_ALO'])
-   param['QMIN_AHI']   = float(param['QMIN_AHI'])
-   param['EXTRA_FORCE'] = param['EXTRA_FORCE'].upper()
-   param['BIG_DISCARD'] = param['BIG_DISCARD'].upper()
-   param['CHK_CLOSE']  = param['CHK_CLOSE'].upper()
-   param['RHILL_PRESENT'] = param['RHILL_PRESENT'].upper()
-
-   return param
-
-def read_swiftest_config(config_file_name):
-   """
-   Reads in a Swiftest config.in file and saves it as a dictionary
-
-   Parameters
-   ----------
-   config_file_name : string
-      File name of the input parameter file
-
-   Returns
-   -------
-   config : dict
-      A dictionary containing the entries in the user parameter file
-   """
-   config = {
-   'CONFIG_FILE_NAME' : config_file_name,
-   'NPLMAX'       : -1,
-   'NTPMAX'       : -1,
-   'T0'          : 0.0,
-   'TSTOP'        : 0.0,
-   'DT'          : 0.0,
-   'PL_IN'        : "",
-   'TP_IN'        : "",
-   'IN_TYPE'      : "ASCII",
-   'ISTEP_OUT'    : -1,
-   'BIN_OUT'      : "",
-   'PARTICLE_FILE' : "",
-   'OUT_TYPE'      : 'REAL8',
-   'OUT_FORM'      : "XV",
-   'OUT_STAT'      : "NEW",
-   'ISTEP_DUMP'    : -1,
-   'J2'          : 0.0,
-   'J4'          : 0.0,
-   'CHK_RMIN'      : -1.0,
-   'CHK_RMAX'      : -1.0,
-   'CHK_EJECT'     : -1.0,
-   'CHK_QMIN'      : -1.0,
-   'CHK_QMIN_COORD' : "HELIO",
-   'CHK_QMIN_RANGE' : "",
-   'QMIN_ALO'      : -1.0,
-   'QMIN_AHI'      : -1.0,
-   'ENC_OUT'      : "",
-   'MTINY'        : -1.0,
-   'MU2KG'        : -1.0,
-   'TU2S'         : -1.0,
-   'DU2M'         : -1.0,
-   'GU'          : -1.0,
-   'INV_C2'       : -1.0,
-   'EXTRA_FORCE'   : 'NO',
-   'BIG_DISCARD'   : 'NO',
-   'CHK_CLOSE'     : 'NO',
-   'FRAGMENTATION'  : 'NO',
-   'MTINY_SET'     : 'NO',
-   'ROTATION'      : 'NO',
-   'TIDES'        : 'NO',
-   'ENERGY'       : 'NO',
-   'GR'          : 'NO',
-   'YARKOVSKY'     : 'NO',
-   'YORP'         : 'NO',
-   'EUCL_THRESHOLD' : 1000000,
-   'SKIP'         : 0,
-   }
-
-   # Read config.in file
-   print(f'Reading Swiftest file {config_file_name}' )
-   f = open(config_file_name, 'r')
-   swiftestlines = f.readlines()
-   f.close()
-   for line in swiftestlines:
-      fields = line.split()
-      if len(fields) > 0:
-         for key in config:
-            if (key == fields[0].upper()): config[key] = fields[1]
-         #Special case of CHK_QMIN_RANGE requires a second input
-         if (config['CHK_QMIN_RANGE'] == fields[0].upper()):
-            config['QMIN_ALO'] = fields[1]
-            config['QMIN_AHI'] = fields[2]
-
-   config['NPLMAX']    = int(config['NPLMAX'])
-   config['NTPMAX']    = int(config['NTPMAX'])
-   config['ISTEP_OUT']  = int(config['ISTEP_OUT'])
-   config['ISTEP_DUMP'] = int(config['ISTEP_DUMP'])
-   config['EUCL_THRESHOLD'] = int(config['EUCL_THRESHOLD'])
-   config['T0']       = float(config['T0'])
-   config['TSTOP']     = float(config['TSTOP'])
-   config['DT']       = float(config['DT'])
-   config['J2']       = float(config['J2'])
-   config['J4']       = float(config['J4'])
-   config['CHK_RMIN']   = float(config['CHK_RMIN'])
-   config['CHK_RMAX']   = float(config['CHK_RMAX'])
-   config['CHK_EJECT']  = float(config['CHK_EJECT'])
-   config['CHK_QMIN']   = float(config['CHK_QMIN'])
-   config['QMIN_ALO']   = float(config['QMIN_ALO'])
-   config['QMIN_AHI']   = float(config['QMIN_AHI'])
-   config['MTINY']     = float(config['MTINY'])
-   config['DU2M']      = float(config['DU2M'])
-   config['MU2KG']     = float(config['MU2KG'])
-   config['TU2S']      = float(config['TU2S'])
-   config['EXTRA_FORCE'] = config['EXTRA_FORCE'].upper()
-   config['BIG_DISCARD'] = config['BIG_DISCARD'].upper()
-   config['CHK_CLOSE']   = config['CHK_CLOSE'].upper()
-   config['FRAGMENTATION'] = config['FRAGMENTATION'].upper()
-   config['ROTATION'] = config['ROTATION'].upper()
-
-   config['GU']       = GC / (config['DU2M']**3 / (config['MU2KG'] * config['TU2S']**2))
-   return config
-
-def swifter_stream(f, param):
-   """
-   Reads in a Swifter bin.dat file and returns a single frame of data as a datastream
-
-   Parameters
-   ----------
-   f : file object
-   param : dict
-
-   Yields
-   -------
-   t   : float
-      Time of this frame
-   npl  : int
-      Number of massive bodies
-   plid : int array
-      IDs of massive bodies
-   pvec : float array
-      (npl,N) - vector of N quantities or each particle (6 of XV/EL + mass, radius, etc)
-   plab : string list
-      Labels for the pvec data
-   ntp  : int
-      Number of test particles
-   tpid : int array
-      Ids of test particles
-   tvec : float array
-      (ntp,N) - vector of N quantities for each particle (6 of XV/EL, etc.)
-   tlab : string list
-      Labels for the tvec data
-   """
-   while True:  # Loop until you read the end of file
-      try:
-         # Read single-line header
-         record =  f.read_record('<f8', '<i4', '<i4', '<i4')
-      except:
-         break
-      t = record[0]
-      npl = record[1][0] - 1
-      ntp = record[2][0]
-
-      pvec = np.empty((6, npl))
-      plid = np.empty(npl, dtype='int')
-      tvec = np.empty((6, ntp))
-      tpid = np.empty(ntp, dtype='int')
-      if npl > 0:
-         Mpl = np.empty(npl)
-         Rpl = np.empty(npl)
-         for i in range(npl):
-            #Read single-line pl frame for
-            record =  f.read_record('<i4', '<f8', '<f8', '(6,)<f8')
-            plid[i] = record[0]
-            Mpl[i] = record[1]
-            Rpl[i] = record[2]
-            pvec[:,i] = record[3]
-      if ntp > 0:
-         for i in range(ntp):
-            record =  f.read_record('<i4', '(6,)<f8')
-            tpid[i] = record[0]
-            tvec[:,i] = record[1]
-
-      tlab = []
-      if param['OUT_FORM'] == 'XV':
-         tlab.append('px')
-         tlab.append('py')
-         tlab.append('pz')
-         tlab.append('vx')
-         tlab.append('vy')
-         tlab.append('vz')
-      elif param['OUT_FORM'] == 'EL':
-         tlab.append('a')
-         tlab.append('e')
-         tlab.append('inc')
-         tlab.append('capom')
-         tlab.append('omega')
-         tlab.append('capm')
-      plab = tlab.copy()
-      plab.append('mass')
-      plab.append('radius')
-      pvec = np.vstack([pvec,Mpl,Rpl])
-
-      yield t, npl, plid, pvec.T, plab, \
-           ntp, tpid, tvec.T, tlab
-
-def make_swiftest_labels(config):
-   tlab = []
-   if config['OUT_FORM'] == 'XV':
-      tlab.append('px')
-      tlab.append('py')
-      tlab.append('pz')
-      tlab.append('vx')
-      tlab.append('vy')
-      tlab.append('vz')
-      tlab.append('a')
-      tlab.append('e')
-      tlab.append('inc')
-      tlab.append('capom')
-      tlab.append('omega')
-      tlab.append('capm')
-   elif config['OUT_FORM'] == 'EL':
-      tlab.append('a')
-      tlab.append('e')
-      tlab.append('inc')
-      tlab.append('capom')
-      tlab.append('omega')
-      tlab.append('capm')
-   plab = tlab.copy()
-   plab.append('mass')
-   plab.append('radius')
-   if config['ROTATION'] == 'YES':
-      plab.append('rot_x')
-      plab.append('rot_y')
-      plab.append('rot_z')
-      plab.append('Ip_x')
-      plab.append('Ip_y')
-      plab.append('Ip_z')
-   if config['TIDES'] == 'YES':
-      plab.append('k2')
-      plab.append('Q')
-   return plab, tlab
-
-
-def swiftest_stream(f, config):
-   """
-   Reads in a Swiftest bin.dat file and returns a single frame of data as a datastream
-
-   Parameters
-   ----------
-   f : file object
-   config : dict
-
-   Yields
-   -------
-   t   : float
-      Time of this frame
-   npl  : int
-      Number of massive bodies
-   plid : int array
-      IDs of massive bodies
-   pvec : float array
-      (npl,N) - vector of N quantities or each particle (6 of XV/EL + mass, radius, etc)
-   plab : string list
-      Labels for the pvec data
-   ntp  : int
-      Number of test particles
-   tpid : int array
-      Ids of test particles
-   tvec : float array
-      (ntp,N) - vector of N quantities for each particle (6 of XV/EL, etc.)
-   tlab : string list
-      Labels for the tvec data
-   """
-   while True:  # Loop until you read the end of file
-      try:
-         # Read multi-line header
-         t = f.read_reals(np.float64)  # Try first part of the header
-      except:
-         break
-      npl = f.read_ints()
-      ntp = f.read_ints()
-      iout_form = f.read_reals('c')
-      if npl[0] > 0:
-         plid = f.read_ints()
-         p1 = f.read_reals(np.float64)
-         p2 = f.read_reals(np.float64)
-         p3 = f.read_reals(np.float64)
-         p4 = f.read_reals(np.float64)
-         p5 = f.read_reals(np.float64)
-         p6 = f.read_reals(np.float64)
-         Mpl = f.read_reals(np.float64)
-         Rpl = f.read_reals(np.float64)
-         if config['ROTATION'] == 'YES':
-            rot_x = f.read_reals(np.float64)
-            rot_y = f.read_reals(np.float64)
-            rot_z = f.read_reals(np.float64)
-            Ip_1  = f.read_reals(np.float64)
-            Ip_2  = f.read_reals(np.float64)
-            Ip_3  = f.read_reals(np.float64)
-      if ntp[0] > 0:
-         tpid = f.read_ints()
-         t1 = f.read_reals(np.float64)
-         t2 = f.read_reals(np.float64)
-         t3 = f.read_reals(np.float64)
-         t4 = f.read_reals(np.float64)
-         t5 = f.read_reals(np.float64)
-         t6 = f.read_reals(np.float64)
-
-      plab, tlab = make_swiftest_labels(config)
-
-      if config['OUT_FORM'] == 'XV':
-         mu = np.empty_like(p1)
-         mu[0] = Mpl[0]
-         mu[1:] = Mpl[0] + Mpl[1:]
-         p7 = []
-         p8 = []
-         p9 = []
-         p10 = []
-         p11 = []
-         p12 = []
-         for i in range(mu.size):
-            elem = orbel.xv2el(mu[i], p1[i], p2[i], p3[i], p4[i], p5[i], p6[i])
-            p7.append(elem[0])
-            p8.append(elem[1])
-            p9.append(elem[2])
-            p10.append(elem[3])
-            p11.append(elem[4])
-            p12.append(elem[5])
-         p7 = np.array(p7)
-         p8 = np.array(p8)
-         p9 = np.array(p9)
-         p10 = np.array(p10)
-         p11 = np.array(p11)
-         p12 = np.array(p12)
-         if ntp[0] > 0:
-            mu = np.full_like(t1,Mpl[0])
-            t7 = []
-            t8 = []
-            t9 = []
-            t10 = []
-            t11 = []
-            t12 = []
-            for i in range(mu.size):
-               elem = orbel.xv2el(mu[i], t1[i], t2[i], t3[i], t4[i], t5[i], t6[i])
-               t7.append(elem[0])
-               t8.append(elem[1])
-               t9.append(elem[2])
-               t10.append(elem[3])
-               t11.append(elem[4])
-               t12.append(elem[5])
-            t7 = np.array(t7)
-            t8 = np.array(t8)
-            t9 = np.array(t9)
-            t10 = np.array(t10)
-            t11 = np.array(t11)
-            t12 = np.array(t12)
-
-      if npl > 0:
-         if config['ROTATION'] == 'YES':
-            if config['OUT_FORM'] == 'EL':
-               pvec = np.vstack([p1,p2,p3,p4,p5,p6,Mpl,Rpl,rot_x,rot_y,rot_z,Ip_1,Ip_2,Ip_3])
-            else:
-               pvec = np.vstack([p1, p2, p3, p4, p5, p6, p7, p8, p9, p10, p11, p12, Mpl, Rpl, rot_x, rot_y, rot_z, Ip_1, Ip_2, Ip_3])
-         else:
-            if config['OUT_FORM'] == 'EL':
-               pvec = np.vstack([p1,p2,p3,p4,p5,p6,Mpl,Rpl])
-            else:
-               pvec = np.vstack([p1, p2, p3, p4, p5, p6, p7, p8, p9, p10, p11, p12, Mpl, Rpl])
-      else:
-         pvec = np.empty((8,0))
-         plid = np.empty(0)
-      if ntp > 0:
-         if config['OUT_FORM'] == 'EL':
-            tvec = np.vstack([t1,t2,t3,t4,t5,t6])
-         else:
-            tvec = np.vstack([t1, t2, t3, t4, t5, t6, t7, t8, t9, t10, t11, t12])
-      else:
-         tvec = np.empty((6,0))
-         tpid = np.empty(0)
-      yield t, npl, plid, pvec.T, plab, \
-           ntp, tpid, tvec.T, tlab
-
-def swifter2xr(param):
-   dims  = ['time','id', 'vec']
-   pl = []
-   tp = []
-   nplarr = []
-   ntparr = []
-   with FortranFile(param['BIN_OUT'], 'r') as f:
-      for t, npl, plid, pvec, plab, \
-           ntp, tpid, tvec, tlab in swifter_stream(f, param):
-
-         #Prepare frames by adding an extra axis for the time coordinate
-         plframe = np.expand_dims(pvec, axis=0)
-         tpframe = np.expand_dims(tvec, axis=0)
-
-         #Create xarray DataArrays out of each body type
-         plxr = xr.DataArray(plframe, dims = dims, coords = {'time' : t, 'id' : plid, 'vec' : plab})
-         tpxr = xr.DataArray(tpframe, dims = dims, coords = {'time' : t, 'id' : tpid, 'vec' : tlab})
-         plda = xr.concat(pl, dim='time')
-         tpda = xr.concat(tp, dim='time')
-         plds = plda.to_dataset(dim='vec')
-         tpds = tpda.to_dataset(dim='vec')
-         dsi = xr.combine_by_coords([plds, tpds])
-         #nplarr.append(npl)
-         #ntparr.append(ntp)
-
-         pl.append(plxr)
-         tp.append(tpxr)
-
-      ds = xr.combine_by_coords([plds, tpds])
-
-   return ds
-
-def swiftest2xr(config):
-   """Reads in the Swiftest BIN_OUT file and converts it to an xarray Dataset"""
-   dims  = ['time','id', 'vec']
-   dsframes = []
-
-   with FortranFile(config['BIN_OUT'], 'r') as f:
-      for t, npl, plid, pvec, plab, \
-         ntp, tpid, tvec, tlab in swiftest_stream(f, config):
-         plframe = np.expand_dims(pvec, axis=0)
-         tpframe = np.expand_dims(tvec, axis=0)
-         bd = []
-
-         # Create xarray DataArrays out of each body type
-         if npl[0] > 0 :
-            plxr = xr.DataArray(plframe, dims=dims, coords={'time': t, 'id': plid, 'vec': plab})
-            bd.append(plxr)
-         if ntp[0] > 0 :
-            tpxr = xr.DataArray(tpframe, dims=dims, coords={'time': t, 'id': tpid, 'vec': tlab})
-            bd.append(tpxr)
-         bdxr = xr.concat(bd, dim='time')
-         bdxr = bdxr.to_dataset(dim='vec')
-         bdxr = bdxr.assign(npl=npl[0])
-         bdxr = bdxr.assign(ntp=ntp[0])
-         dsframes.append(bdxr)
-         sys.stdout.write('\r'+f"Reading in time {t[0]:.3e}")
-         sys.stdout.flush()
-      print('\nCreating Dataset')
-      ds = xr.concat(dsframes, dim='time')
-   if not config['PARTICLE_FILE'] == '':
-      ds = swiftest_particle_2xr(ds, config)
-   print(f"Successfully converted {ds.sizes['time']} output frames.")
-   return ds
-
-def swiftest_particle_stream(f):
-   """
-   Reads in a Swiftest particle.dat file and returns a single frame of particle data as a datastream
-
-   Parameters
-   ----------
-   f : file object
-   config : dict
-
-   Yields
-   -------
-   plid : int
-      ID of massive bodie
-   origin_type : string
-      The origin type for the body (Initial conditions, disruption, supercatastrophic, hit and run, etc)
-   origin_xh : float array
-      The origin heliocentric position vector
-   origin_vh : float array
-      The origin heliocentric velocity vector
-   """
-   while True:  # Loop until you read the end of file
-      try:
-         # Read multi-line header
-         plid = f.read_ints()  # Try first part of the header
-      except:
-         break
-      origin_rec = f.read_record(np.dtype('a32'), np.dtype(('<f8', (7))))
-      origin_type = np.char.strip(str(origin_rec[0], encoding='utf-8'))
-      origin_vec = origin_rec[1]
-      yield plid, origin_type, origin_vec
-
-def swiftest_particle_2xr(ds, config):
-   """Reads in the Swiftest PARTICLE_FILE  and converts it to an xarray Dataset"""
-   veclab = ['time_origin', 'px_origin', 'py_origin', 'pz_origin', 'vx_origin', 'vy_origin', 'vz_origin']
-   id_list = []
-   origin_type_list = []
-   origin_vec_list = []
-
-   with FortranFile(config['PARTICLE_FILE'], 'r') as f:
-      for plid, origin_type, origin_vec in swiftest_particle_stream(f):
-         id_list.append(plid)
-
-         origin_type_list.append(origin_type)
-         origin_vec_list.append(origin_vec)
-
-   id_list =  np.asarray(id_list)[:,0]
-   origin_type_list = np.asarray(origin_type_list)
-   origin_vec_list = np.vstack(origin_vec_list)
-
-   typeda = xr.DataArray(origin_type_list, dims=['id'], coords={'id' : id_list})
-   vecda = xr.DataArray(origin_vec_list, dims=['id', 'vec'], coords={'id' : id_list, 'vec' : veclab})
-
-   infoxr = vecda.to_dataset(dim='vec')
-   infoxr['origin_type'] = typeda
-
-   print('\nAdding particle info to Dataset')
-   ds = xr.merge([ds, infoxr])
-   return ds
-
-
-def solar_system_pl(config, ephemerides_start_date):
-   """
-   Initializes a Swiftest dataset containing the major planets of the Solar System at a particular data from JPL/Horizons
-
-   Parameters
-   ----------
-   config : dict
-       Swiftest Configuration parameters. This method uses the unit conversion factors to convert from JPL's AU-day system into the system specified in the config file
-   ephemerides_start_date : string
-       Date to use when obtaining the ephemerides in the format YYYY-MM-DD
-
-   Returns
-   -------
-   xarray dataset
-   """
-   # Planet ids
-   planetid = {
-      'mercury': '1',
-      'venus': '2',
-      'earthmoon': '3',
-      'mars': '4',
-      'jupiter': '5',
-      'saturn': '6',
-      'uranus': '7',
-      'neptune': '8',
-      'plutocharon': '9'
-   }
-
-   # Planet Msun/M ratio
-   MSun_over_Mpl = {
-      'mercury': np.longdouble(6023600.0),
-      'venus': np.longdouble(408523.71),
-      'earthmoon': np.longdouble(328900.56),
-      'mars': np.longdouble(3098708.),
-      'jupiter': np.longdouble(1047.3486),
-      'saturn': np.longdouble(3497.898),
-      'uranus': np.longdouble(22902.98),
-      'neptune': np.longdouble(19412.24),
-      'plutocharon': np.longdouble(1.35e8)
-   }
-
-   # Planet radii in meters
-   planetradius = {
-      'mercury': np.longdouble(2439.4e3) / AU2M,
-      'venus': np.longdouble(6051.8e3) / AU2M,
-      'earthmoon': np.longdouble(6371.0084e3) / AU2M,  # Earth only for radius
-      'mars': np.longdouble(3389.50e3) / AU2M,
-      'jupiter': np.longdouble(69911e3) / AU2M,
-      'saturn': np.longdouble(58232.0e3) / AU2M,
-      'uranus': np.longdouble(25362.e3) / AU2M,
-      'neptune': np.longdouble(24622.e3) / AU2M,
-      'plutocharon': np.longdouble(1188.3e3) / AU2M
-   }
-
-   # Unit conversion factors
-   DCONV = AU2M / config['DU2M']
-   VCONV = (AU2M / JD2S) / (config['DU2M'] / config['TU2S'])
-   THIRDLONG = np.longdouble(1.0) / np.longdouble(3.0)
-
-   # Central body value vectors
-   GMcb = np.array([GMSunSI * config['TU2S'] ** 2 / config['DU2M'] ** 3])
-   Rcb = np.array([RSun / config['DU2M']])
-   J2RP2 = np.array([J2Sun * (RSun / config['DU2M']) ** 2])
-   J4RP4 = np.array([J4Sun * (RSun / config['DU2M']) ** 4])
-   cbid = np.array([0])
-   cvec = np.vstack([GMcb, Rcb, J2RP2, J4RP4])
-
-   # Horizons date time internal variables
-   tstart = datetime.date.fromisoformat(ephemerides_start_date)
-   tstep = datetime.timedelta(days=1)
-   tend = tstart + tstep
-   ephemerides_end_date = tend.isoformat()
-   ephemerides_step = '1d'
-
-   pldata = {}
-   p1 = []
-   p2 = []
-   p3 = []
-   p4 = []
-   p5 = []
-   p6 = []
-   Rhill = []
-   Rpl = []
-   GMpl = []
-
-   # Fetch solar system ephemerides from Horizons
-   for key, val in planetid.items():
-      pldata[key] = Horizons(id=val, id_type='majorbody', location='@sun',
-                             epochs={'start': ephemerides_start_date, 'stop': ephemerides_end_date,
-                                     'step': ephemerides_step})
-      if config['OUT_FORM'] == 'XV':
-         p1.append(pldata[key].vectors()['x'][0] * DCONV)
-         p2.append(pldata[key].vectors()['y'][0] * DCONV)
-         p3.append(pldata[key].vectors()['z'][0] * DCONV)
-         p4.append(pldata[key].vectors()['vx'][0] * VCONV)
-         p5.append(pldata[key].vectors()['vy'][0] * VCONV)
-         p6.append(pldata[key].vectors()['vz'][0] * VCONV)
-      elif config['OUT_FORM'] == 'EL':
-         p1.append(pldata[key].elements()['a'][0] * DCONV)
-         p2.append(pldata[key].elements()['e'][0])
-         p3.append(pldata[key].elements()['inc'][0] * np.pi / 180.0)
-         p4.append(pldata[key].elements()['Omega'][0] * np.pi / 180.0)
-         p5.append(pldata[key].elements()['w'][0] * np.pi / 180.0)
-         p6.append(pldata[key].elements()['M'][0] * np.pi / 180.0)
-      Rhill.append(pldata[key].elements()['a'][0] * (3 * MSun_over_Mpl[key]) ** (-THIRDLONG))
-      Rpl.append(planetradius[key] * DCONV)
-      GMpl.append(GMcb[0] / MSun_over_Mpl[key])
-   # Generate planet value vectors
-   plid = np.fromiter(planetid.values(), dtype=int)
-   pvec = np.vstack([p1, p2, p3, p4, p5, p6, GMpl, Rpl])
-
-   dims = ['time', 'id', 'vec']
-   cb = []
-   pl = []
-   tp = []
-   t = np.array([0.0])
-
-   clab, plab, tlab = make_swiftest_labels(config)
-
-   # Prepare frames by adding an extra axis for the time coordinate
-   cbframe = np.expand_dims(cvec.T, axis=0)
-   plframe = np.expand_dims(pvec.T, axis=0)
-
-   # Create xarray DataArrays out of each body type
-   cbxr = xr.DataArray(cbframe, dims=dims, coords={'time': t, 'id': cbid, 'vec': clab})
-   plxr = xr.DataArray(plframe, dims=dims, coords={'time': t, 'id': plid, 'vec': plab})
-
-   cb.append(cbxr)
-   pl.append(plxr)
-
-   cbda = xr.concat(cb, dim='time')
-   plda = xr.concat(pl, dim='time')
-
-   cbds = cbda.to_dataset(dim='vec')
-   plds = plda.to_dataset(dim='vec')
-   ds = xr.combine_by_coords([cbds, plds])
-   return ds
-
-
-def swiftest_xr2_infile(ds, config, framenum=-1):
-   """
-   Writes a set of Swiftest input files from a single frame of a Swiftest xarray dataset
-
-   Parameters
-   ----------
-   ds : xarray dataset
-       Dataset containing Swiftest n-body data in XV format
-   framenum : int
-       Time frame to use to generate the initial conditions. If this argument is not passed, the default is to use the last frame in the dataset.
-   config : dict
-       Swiftest Configuration parameters. This method uses the names of the cb, pl, and tp files from the configuration
-
-   Returns
-   -------
-   A set of three input files for a Swiftest run
-   """
-   frame = ds.isel(time=framenum)
-   pl = frame.where(np.invert(np.isnan(frame['Mass'])), drop=True)
-   tp = frame.where(np.isnan(frame['Mass']), drop=True).drop_vars(['Mass', 'Radius'])
-   tp = tp.where(np.invert(np.isnan(tp['px'])), drop=True)
-
-   GMSun = np.double(pl['Mass'].isel(id=0))
-   RSun = np.double(pl['Radius'].isel(id=0))
-
-   if config['IN_TYPE'] == 'ASCII':
-      # Swiftest PL file
-      plfile = open(config['PL_IN'], 'w')
-      print(pl.id.count().values, file=plfile)
-      for i in pl.id:
-         pli = pl.sel(id=i)
-         print(i.values, pli['Mass'].values, file=plfile)
-         if i != 0:
-            print(pli['Radius'].values, file=plfile)
-         print(pli['px'].values, pli['py'].values, pli['pz'].values, file=plfile)
-         print(pli['vx'].values, pli['vy'].values, pli['vz'].values, file=plfile)
-         if config['ROTATION'] == 'YES':
-            print(pli['Ip_x'].values, pli['Ip_y'].values, pli['Ip_z'].values, file=plfile)
-            print(pli['rot_x'].values, pli['rot_y'].values, pli['rot_z'].values, file=plfile)
-      plfile.close()
-
-      # TP file
-      tpfile = open(config['TP_IN'], 'w')
-      print(tp.id.count().values, file=tpfile)
-      for i in tp.id:
-         tpi = tp.sel(id=i)
-         print(i.values, file=tpfile)
-         print(tpi['px'].values, tpi['py'].values, tpi['pz'].values, file=tpfile)
-         print(tpi['vx'].values, tpi['vy'].values, tpi['vz'].values, file=tpfile)
-      tpfile.close()
-   elif config['IN_TYPE'] == 'REAL8':
-      # Now make Swiftest files
-      cbfile = FortranFile(swiftest_cb, 'w')
-      Msun = np.double(1.0)
-      cbfile.write_record(np.double(GMSun))
-      cbfile.write_record(np.double(rmin))
-      cbfile.write_record(np.double(J2))
-      cbfile.write_record(np.double(J4))
-      cbfile.close()
-
-      plfile = FortranFile(swiftest_pl, 'w')
-      plfile.write_record(npl)
-
-      plfile.write_record(plid)
-      plfile.write_record(p_pl[0])
-      plfile.write_record(p_pl[1])
-      plfile.write_record(p_pl[2])
-      plfile.write_record(v_pl[0])
-      plfile.write_record(v_pl[1])
-      plfile.write_record(v_pl[2])
-      plfile.write_record(mass)
-      plfile.write_record(radius)
-      plfile.close()
-      tpfile = FortranFile(swiftest_tp, 'w')
-      ntp = 1
-      tpfile.write_record(ntp)
-      tpfile.write_record(tpid)
-      tpfile.write_record(p_tp[0])
-      tpfile.write_record(p_tp[1])
-      tpfile.write_record(p_tp[2])
-      tpfile.write_record(v_tp[0])
-      tpfile.write_record(v_tp[1])
-      tpfile.write_record(v_tp[2])
-   else:
-      print(f"{config['IN_TYPE']} is an unknown file type")
-
-if __name__ == '__main__':
-
-   workingdir = '/Users/daminton/git/swiftest/examples/symba_mars_disk/'
-   config_file_name = workingdir + 'param.in'
-   config = read_swiftest_config(config_file_name)
-   config['BIN_OUT'] = workingdir + config['BIN_OUT']
-   config['PARTICLE_FILE'] = workingdir + config['PARTICLE_FILE']
-   config['WORKINGDIR'] = workingdir
-   swiftestdat = swiftest2xr(config)
-
-
-
diff --git a/python/swiftestio/testreader.ipynb b/python/swiftestio/testreader.ipynb
deleted file mode 100644
index c8e74395d..000000000
--- a/python/swiftestio/testreader.ipynb
+++ /dev/null
@@ -1,163 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import numpy as np\n",
-    "import swiftestio as swio\n",
-    "import matplotlib.pyplot as plt\n",
-    "import timeit\n",
-    "import xarray as xr\n",
-    "from scipy.io import FortranFile\n",
-    "import pandas as pd\n",
-    "from dask.distributed import Client"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "workingdir = '/Users/daminton/work/Projects/Swiftest/Elliott_Performance/high_high_1500_1/'"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Reading Swiftest file /Users/daminton/work/Projects/Swiftest/Elliott_Performance/high_high_1500_1/param.in\n"
-     ]
-    }
-   ],
-   "source": [
-    "config_file_name = workingdir + \"param.in\"\n",
-    "config = {}\n",
-    "config = swio.read_swiftest_config(config_file_name)\n",
-    "config['BIN_OUT'] = workingdir + config['BIN_OUT']\n",
-    "dims  = ['time','id', 'vec']"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "dsframes =[]\n",
-    "pl = []\n",
-    "tp = []\n",
-    "nplarr = []\n",
-    "ntparr = []\n",
-    "with FortranFile(config['BIN_OUT'], 'r') as f:\n",
-    "    for t, npl, plid, pvec, plab, \\\n",
-    "           ntp, tpid, tvec, tlab in swio.swiftest_stream(f, config):\n",
-    "        #print(f'Time = {t[0]}')\n",
-    "        plframe = np.expand_dims(pvec, axis=0)\n",
-    "        tpframe = np.expand_dims(tvec, axis=0)\n",
-    "        bd = []\n",
-    "        \n",
-    "        #Create xarray DataArrays out of each body type\n",
-    "        if npl[0] > 0:\n",
-    "            plxr = xr.DataArray(plframe, dims = dims, coords = {'time' : t, 'id' : plid, 'vec' : plab})\n",
-    "            bd.append(plxr)\n",
-    "        if ntp[0] > 0:\n",
-    "            tpxr = xr.DataArray(tpframe, dims = dims, coords = {'time' : t, 'id' : tpid, 'vec' : tlab})\n",
-    "            bd.append(tpxr)\n",
-    "        bdxr = xr.concat(bd, dim='time')\n",
-    "        #bdxr = bdxr.assign_coords({'npl' : npl[0], 'ntp' : ntp[0]})\n",
-    "        bdxr = bdxr.to_dataset(dim = 'vec')\n",
-    "        bdxr = bdxr.assign(npl=npl[0])\n",
-    "        bdxr = bdxr.assign(ntp=ntp[0])\n",
-    "        bdxr = bdxr.chunk()\n",
-    "        dsframes.append(bdxr)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ds = xr.concat(dsframes, dim='time')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "workingdir = \"/Volumes/Minton Data Archive/work archive/Projects/Swiftest/Pouplin-Mars-Disk/high_high_1500_1/savestate2/\"\n",
-    "filehead = workingdir + 'bin'\n",
-    "ds = xr.open_mfdataset(f'{filehead}*.nc', combine='by_coords',concat_dim='time',parallel=False)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "[<matplotlib.lines.Line2D at 0x7fb748c842e8>]"
-      ]
-     },
-     "execution_count": 13,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.7.3"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}