Plotting Colormaps

Show all colormaps in kkpy

 import kkpy
 import matplotlib as mpl
 import matplotlib.pyplot as plt
 import inspect

 # Get all available cmaps
 def available_functions(module):
     func_list_with_underscore = [x.__name__ for x in module.__dict__.values() if inspect.isfunction(x)]
     func_list = [x for x in func_list_with_underscore if not x.startswith('_')]

     return func_list

 cm_list = available_functions(kkpy.cm)


 # Get labels for each cmap
 labels = [f'kkpy.cm.{x}()' for x in cm_list]

 # Draw cmaps
 fig = plt.figure(figsize=(15,len(cm_list)), dpi=250)
 gs = fig.add_gridspec(len(cm_list), 1, hspace=3.5)
 for i_c, cm in enumerate(cm_list):
     # for each cmap
     cmap = getattr(kkpy.cm, cm)()

     ax = plt.subplot(gs[i_c])

     # cmap and norm are usually used in plt.pcolormesh()
     # ticks can be used in plt.colorbar()
     cb = mpl.colorbar.ColorbarBase(ax,
                                    cmap=cmap['cmap'],
                                    norm=cmap['norm'],
                                    ticks=cmap['ticks'],
                                    orientation='horizontal')
     cb.set_label(labels[i_c])
 plt.show()

Estimated memory usage: 10 MB