Source code for paramonte.vis._utils

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####   ParaMonte: plain powerful parallel Monte Carlo library.
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import numpy as np

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#### colorbar
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[docs]def isColorBar(ax): """ Attempt to guess whether an input matplotlib ``Axes`` is home to a ``colorbar`` object. **Parameters** ax An Axes instance. **Returns** A boolean value of ``True`` if the x xor y axis satisfies all of the following and thus looks like a ``colorbar`` object: No ticks, no tick labels, no axis label """ xcb = (len(ax.get_xticks()) == 0) and (len(ax.get_xticklabels()) == 0) and (len(ax.get_xlabel()) == 0) #and (ax.get_xlim() == (0, 1)) ycb = (len(ax.get_yticks()) == 0) and (len(ax.get_yticklabels()) == 0) and (len(ax.get_ylabel()) == 0) #and (ax.get_ylim() == (0, 1)) return xcb != ycb
#################################################################################################################################### #### isPresentColorBar ####################################################################################################################################
[docs]def isPresentColorBar(): from matplotlib import pyplot as plt return any([isColorBar(ax) for ax in np.atleast_1d(plt.gcf().axes).flatten()])