I want to replicate seaborn pairplot function but I need increased flexibility to plot extra things.
I have the following minimal example, but I need that the uppermost labels show the range [10, 20] instead of [0, 1] without changing the displayed range of the first plot, and that the grid for the right plots shows horizontal bars.
How can I keep x and y shared and displayed for all plots but exclude the y axis of diagonal plots as in seaborn?
import matplotlib.pyplot as plt
fig, axes = plt.subplots(nrows=2, ncols=2, sharex='col',
sharey='row')
axes[0, 0]._shared_axes['y'].remove(axes[0, 0])
axes[1, 1]._shared_axes['y'].remove(axes[1, 1])
axes[0, 0].plot([0, 1])
axes[0, 1].scatter([0, 1], [10, 20])
axes[1, 0].scatter([0, 1], [100, 200])
axes[1, 1].plot([0, 1])
axes[0, 0].grid(color='lightgray', linestyle='--')
axes[0, 1].grid(color='lightgray', linestyle='--')
axes[1, 0].grid(color='lightgray', linestyle='--')
axes[1, 1].grid(color='lightgray', linestyle='--')
plt.show()
import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd
df = pd.DataFrame([[10, 100], [20, 200]])
sns.pairplot(df, diag_kind='kde')
plt.show()
