Say I\'m plotting an image with 4 subplots like so:
import matplotlib.pyplot as plt
fig = plt.figure()
ax1 = fig.add_subplot(221)
plt.xlim(0, 10)
plt.ylim(0, 20
I know this was posted a while ago, but for anyone seeing this post now, I would add to @zhangxaochen answer to note that in plt.subplots
command also has the parameters sharex
and sharey
. So if you want, you could just use:
import matplotlib.pyplot as plt
fig, axes=plt.subplots(2, 2, sharex = True, sharey = True)
for ax in axes.ravel(): #ravel axes to a flattened array
# Do plotting here
plt.show()
use plt.subplots
:
In [36]: import matplotlib.pyplot as plt
...: fig, axes=plt.subplots(2, 2)
...: for ax in axes.ravel(): #ravel axes to a flattened array
...: ax.set_xlim(0, 10)
...: ax.set_ylim(0, 20)
...: ax.set_xlabel('Label_x')
...: ax.set_ylabel('Label_y')
...: plt.show()
...: