Version 3.0.0
matplotlib.pyplot.subplots(nrows=1, ncols=1, sharex=False, sharey=False, squeeze=True, subplot_kw=None, gridspec_kw=None, **fig_kw)[source]¶Create a figure and a set of subplots.
This utility wrapper makes it convenient to create common layouts of subplots, including the enclosing figure object, in a single call.
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Examples
#First create some toy data:
x = np.linspace(0, 2*np.pi, 400)
y = np.sin(x**2)
#Creates just a figure and only one subplot
fig, ax = plt.subplots()
ax.plot(x, y)
ax.set_title('Simple plot')
#Creates two subplots and unpacks the output array immediately
f, (ax1, ax2) = plt.subplots(1, 2, sharey=True)
ax1.plot(x, y)
ax1.set_title('Sharing Y axis')
ax2.scatter(x, y)
#Creates four polar axes, and accesses them through the returned array
fig, axes = plt.subplots(2, 2, subplot_kw=dict(polar=True))
axes[0, 0].plot(x, y)
axes[1, 1].scatter(x, y)
#Share a X axis with each column of subplots
plt.subplots(2, 2, sharex='col')
#Share a Y axis with each row of subplots
plt.subplots(2, 2, sharey='row')
#Share both X and Y axes with all subplots
plt.subplots(2, 2, sharex='all', sharey='all')
#Note that this is the same as
plt.subplots(2, 2, sharex=True, sharey=True)
#Creates figure number 10 with a single subplot
#and clears it if it already exists.
fig, ax=plt.subplots(num=10, clear=True)
matplotlib.pyplot.subplots¶
