phev-reader

Module to read .ev text files.

This Python module reads .ev files, which are made by the Phantom code. The data is stored as pandas DataFrame.

Documentation

Full documentation of phev-reader can be found here.

Installation:

pip install phev-reader

Structure of a .ev file

These files are typically in a table form:

# [ 1         time]     [ 2total energy ]     [ 3  pot energy ]     ...
    0.00000000000E+00    -9.15160740747E-03    -1.79950917829E-02   ...
    ...                 ...                   ...

Examples

phev-reader can be used from a jupyter notebook or python script:

import phev

phdf = phev.evreader('energy.ev')

By default, this function prints the headers of the file, which are also stored as keys for the dataframe:

['time', 'total energy', 'pot energy', 'kin energy', 'therm energy', 'sink pot', 'sink kin', 'sink orb', 'comp orb', 'env pot', 'env energy', 'bound kin', 'unbound kin', 'bound mass', 'unbound mass', 'p-p pot', 'p-s pot', 'tot ang mom', 'b ang mom', 'ub ang mom', 'orb ang mom', 'gas energy', 'fallback', 'fallback mom']

If phev is run from a jupyter notebook:

In [2]: phdf
Out[2]: 
          time  total energy  pot energy  kin energy  therm energy  sink pot  sink kin  sink orb  ...   p-s pot  tot ang mom  b ang mom  ub ang mom  orb ang mom  gas energy  fallback  fallback mom
0          0.0     -0.009152   -0.017995    0.000931      0.007912 -0.000615  0.000768  0.000154  ... -0.011739    15.804520   2.753940    0.000000    13.050580   -0.011576       0.0           0.0
1         50.0     -0.009152   -0.017994    0.000931      0.007912 -0.000615  0.000768  0.000154  ... -0.011738    15.804525   2.752241    0.000000    13.052284   -0.011575       0.0           0.0
2        100.0     -0.009152   -0.017993    0.000931      0.007911 -0.000615  0.000768  0.000154  ... -0.011737    15.804530   2.752194    0.000000    13.052336   -0.011575       0.0           0.0
3        150.0     -0.009152   -0.017993    0.000931      0.007910 -0.000615  0.000768  0.000154  ... -0.011737    15.804537   2.752197    0.000000    13.052340   -0.011575       0.0           0.0
4        200.0     -0.009152   -0.017992    0.000931      0.007910 -0.000615  0.000768  0.000154  ... -0.011737    15.804543   2.752238    0.000000    13.052305   -0.011574       0.0           0.0
...        ...           ...         ...         ...           ...       ...       ...       ...  ...       ...          ...        ...         ...          ...         ...       ...           ...
6996  349800.0     -0.009194   -0.018549    0.007892      0.001463 -0.012831  0.006697 -0.006134  ... -0.005224    15.811252   6.786975    7.449286     1.574991   -0.004029       0.0           0.0
6997  349850.0     -0.009194   -0.018701    0.008045      0.001462 -0.012982  0.006848 -0.006134  ... -0.005225    15.811252   6.780038    7.456772     1.574443   -0.004029       0.0           0.0
6998  349900.0     -0.009194   -0.018760    0.008105      0.001461 -0.013041  0.006907 -0.006134  ... -0.005225    15.811252   6.772186    7.464296     1.574770   -0.004028       0.0           0.0
6999  349950.0     -0.009194   -0.018713    0.008059      0.001460 -0.012997  0.006862 -0.006135  ... -0.005223    15.811252   6.764819    7.470044     1.576390   -0.004026       0.0           0.0
7000  350000.0     -0.009194   -0.018571    0.007918      0.001459 -0.012858  0.006721 -0.006137  ... -0.005220    15.811252   6.753799    7.477806     1.579647   -0.004024       0.0           0.0

[7001 rows x 24 columns]