Setting Colorbar Range

In the provided code snippet, the colormap is spread between the minimum and maximum values of the data. To force the colormap to range between 0 and 1, you can use the vmin and vmax parameters when calling plt.pcolor(). These parameters specify the minimum and maximum values for the colormap, respectively.

Here is an example of how to use vmin and vmax to set the colorbar range:

import matplotlib.pyplot as plt

cdict = {
  'red'  :  ( (0.0, 0.25, .25), (0.02, .59, .59), (1., 1., 1.)),
  'green':  ( (0.0, 0.0, 0.0), (0.02, .45, .45), (1., .97, .97)),
  'blue' :  ( (0.0, 1.0, 1.0), (0.02, .75, .75), (1., 0.45, 0.45))
}
 
cm = m.colors.LinearSegmentedColormap('my_colormap', cdict, 1024)
 
plt.clf()
plt.pcolor(X, Y, v, cmap=cm, vmin=0, vmax=1)
plt.loglog()
plt.xlabel('X Axis')
plt.ylabel('Y Axis')
 
plt.colorbar()
plt.show()

With this modification, the colormap will be set to range between 0 and 1, which will result in a more consistent color mapping across different graphs with different data ranges.