如何在matplotlib的不同子图中重复绘图？

Question

I have

fig, (((ax1, ax2), (ax3, ax4))) = plt.subplots(ncols=2, nrows=2, 
                                               sharex='col', 
                                               sharey='row', 
                                               figsize=(12, 12))

and I want to repeat one plot, say P in all axes, something like:

P.plot(ax = [ax1, ax2, ax3, ax4], facecolor = "none",
       edgecolor = "black")

without having to repeat the line for each plot. Is there a way to do that?

Answer 1

Some people prefer to use map instead of for in python. So I suppose if the aim is to replace some canonical loop like

for ax in [ax1, ax2, ax3, ax4]:
    geodf.plot(ax=ax)

you could do

list(map(lambda ax: geodf.plot(ax=ax), [ax1, ax2, ax3, ax4]))

Answer 2

This is one way to do this using list comprehension method without having to write four separate plot commands explicitly . I am using a DataFrame as p to be consistent with your problem. You can try replacing df with your p variable.

import pandas as pd
import matplotlib.pyplot as plt

fig, (((ax1, ax2), (ax3, ax4))) = plt.subplots(ncols=2, nrows=2, 
                                               sharex='col', 
                                               sharey='row', 
                                               figsize=(8, 8))

df = pd.DataFrame({"x": [1, 2, 3, 4],
                   "y" : [1, 4, 9, 16]})

_ = [df.plot(x="x", y="y", ax=ax) for ax in [ax1, ax2, ax3, ax4]]
plt.show()