Real probability scales for matplotlib
conda install mpl-probscale --channel=phobson
Simply importing probscale lets you use probability scales in your matplotlib figures:
import matplotlib.pyplot as plt
import probscale
import seaborn
clear_bkgd = {'axes.facecolor':'none', 'figure.facecolor':'none'}
seaborn.set(style='ticks', context='notebook', rc=clear_bkgd)
fig, ax = plt.subplots(figsize=(8, 4))
ax.set_ylim(1e-2, 1e2)
ax.set_yscale('log')
ax.set_xlim(0.5, 99.5)
ax.set_xscale('prob')
seaborn.despine(fig=fig)
Testing is generally done via the nose and numpy.testing modules.
The best way to run the tests is in an interactive python session:
import matplotlib
matplotib.use('agg')
import probscale
probscale.test()