matplotlib.pyplot.subplots

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:

nrows, ncols : int, optional, default: 1 Number of rows/columns of the subplot grid. sharex, sharey : bool or {'none', 'all', 'row', 'col'}, default: False Controls sharing of properties among x (sharex) or y (sharey) axes: True or 'all': x- or y-axis will be shared among all subplots. False or 'none': each subplot x- or y-axis will be independent. 'row': each subplot row will share an x- or y-axis. 'col': each subplot column will share an x- or y-axis. When subplots have a shared x-axis along a column, only the x tick labels of the bottom subplot are created. Similarly, when subplots have a shared y-axis along a row, only the y tick labels of the first column subplot are created. To later turn other subplots' ticklabels on, use tick_params. squeeze : bool, optional, default: True If True, extra dimensions are squeezed out from the returned array of Axes: if only one subplot is constructed (nrows=ncols=1), the resulting single Axes object is returned as a scalar. for Nx1 or 1xM subplots, the returned object is a 1D numpy object array of Axes objects. for NxM, subplots with N>1 and M>1 are returned as a 2D array. If False, no squeezing at all is done: the returned Axes object is always a 2D array containing Axes instances, even if it ends up being 1x1. num : integer or string, optional, default: None A pyplot.figure keyword that sets the figure number or label. subplot_kw : dict, optional Dict with keywords passed to the add_subplot call used to create each subplot. gridspec_kw : dict, optional Dict with keywords passed to the GridSpec constructor used to create the grid the subplots are placed on. **fig_kw All additional keyword arguments are passed to the pyplot.figure call.

Returns:

fig : Figure ax : axes.Axes object or array of Axes objects. ax can be either a single Axes object or an array of Axes objects if more than one subplot was created. The dimensions of the resulting array can be controlled with the squeeze keyword, see above.

See also

pyplot.figure

pyplot.subplot

pyplot.axes

Figure.subplots

Figure.add_subplot

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)

Examples using matplotlib.pyplot.subplots