In [2]:
import numpy as np
In [3]:
from xrdtools import parse_data, disk_mask
In [8]:
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 import make_axes_locatable
%matplotlib inline
In [13]:
m = parse_data('../data/result_slice01.txt', colnum=1)
mat = m.values
mask = disk_mask(mat, 27, 27, 20)
mat[~mask] = np.nan
In [15]:
plt.figure(figsize=(10, 10))
plt.pcolor(mat)
ax = plt.gca()
ax.set_aspect('equal')
divider = make_axes_locatable(ax)
cax = divider.append_axes("right", size="5%", pad=0.2)
plt.colorbar(cax=cax)
Out[15]:
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