Version 2.2.4
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.
| Parameters: |
|
|---|---|
| Returns: |
|
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)
matplotlib.pyplot.subplots¶
