import pandas as pd import numpy as np import matplotlib.pyplot as plt import matplotlib as mpl import seaborn as sns # Create the data : copied from examples/kde_ridgeplot.py rs = np.random.RandomState(1979) x = rs.randn(100) fig, ax = plt.subplots(1, 1, num=1, clear=True) sns.kdeplot(x, fill=True, lw=2, ec="r") ax.set_ylim(ymin=-0.02) from mpl_visual_context.patheffects import Partial, Open p = ax.collections[0] # The 1st half of the path is the bottom line, thus we only strke the 2nd half, # and do not close the path. p.set_path_effects([Partial(0.5, 1.0) | Open()]) plt.show()
Total running time of the script: (0 minutes 0.055 seconds)
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