In [1]:

    

%matplotlib inline
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd


    

In [2]:

    

f = open("FGM")
FGM = np.array([ [ float(e) for e in line.split() ] for line in f.readlines() ])
f = open("FGM_kR")
FGM_kR = np.array([ [ float(e) for e in line.split() ] for line in f.readlines() ])
f = open("FGM_kZ")
FGM_kZ = np.array([ [ float(e) for e in line.split() ] for line in f.readlines() ])


    

In [3]:

    

plt.matshow(FGM/2.7e-6, extent=(0, 31, -5.0, 0), interpolation='none', aspect='auto', vmin=0)
plt.colorbar()


    

    
Out[3]:





<matplotlib.colorbar.Colorbar at 0x7f85f40ec710>






    

In [4]:

    

plt.matshow(FGM_kR, extent=(0, 31, -5.0, 0), interpolation='none', aspect='auto', vmin=0)
plt.colorbar()


    

    
Out[4]:





<matplotlib.colorbar.Colorbar at 0x7f85d7b425f8>






    

In [5]:

    

plt.matshow(FGM_kZ, extent=(0, 31, -5.0, 0), interpolation='none', aspect='auto')
plt.colorbar()


    

    
Out[5]:





<matplotlib.colorbar.Colorbar at 0x7f85d7d9ff98>






    

In [6]:

    

plt.figure(figsize=(12,12))
plt.imshow(FGM/(FGM_kR*FGM_kR), extent=(0, 31, -5.0, 0), interpolation="none", aspect="auto")
plt.colorbar()


    

    
Out[6]:





<matplotlib.colorbar.Colorbar at 0x7f85d78864e0>






    

In [6]:

    




    

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