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Create a figure with a set of subplots already made.
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This utility wrapper makes it convenient to create common layouts of
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Parameters
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----------
|
naxes : int
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Number of required axes. Exceeded axes are set invisible. Default is
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nrows * ncols.
|
|
sharex : bool
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If True, the X axis will be shared amongst all subplots.
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sharey : bool
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If True, the Y axis will be shared amongst all subplots.
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squeeze : bool
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If True, extra dimensions are squeezed out from the returned axis object:
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- if only one subplot is constructed (nrows=ncols=1), the resulting
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single Axis object is returned as a scalar.
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- for Nx1 or 1xN subplots, the returned object is a 1-d numpy object
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array of Axis objects are returned as numpy 1-d arrays.
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- for NxM subplots with N>1 and M>1 are returned as a 2d array.
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If False, no squeezing is done: the returned axis object is always
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a 2-d array containing Axis instances, even if it ends up being 1x1.
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subplot_kw : dict
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Dict with keywords passed to the add_subplot() call used to create each
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subplots.
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ax : Matplotlib axis object, optional
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layout : tuple
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Number of rows and columns of the subplot grid.
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If not specified, calculated from naxes and layout_type
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layout_type : {'box', 'horizontal', 'vertical'}, default 'box'
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Specify how to layout the subplot grid.
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fig_kw : Other keyword arguments to be passed to the figure() call.
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Note that all keywords not recognized above will be
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Returns
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-------
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fig, ax : tuple
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- fig is the Matplotlib Figure object
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- ax can be either a single axis object or an array of axis objects if
|
more than one subplot was created. The dimensions of the resulting array
|
can be controlled with the squeeze keyword, see above.
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|
Examples
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--------
|
x = np.linspace(0, 2*np.pi, 400)
|
y = np.sin(x**2)
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|
# Just a figure and one subplot
|
f, ax = plt.subplots()
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ax.plot(x, y)
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ax.set_title('Simple plot')
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# Two subplots, unpack the output array immediately
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f, (ax1, ax2) = plt.subplots(1, 2, sharey=True)
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ax1.plot(x, y)
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ax1.set_title('Sharing Y axis')
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ax2.scatter(x, y)
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Return whether an axis is externally shared.
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Parameters
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ax1 : matplotlib.axes.Axes
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Axis to query.
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compare_axis : str
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Returns
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bool
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`True` if the axis is externally shared. Otherwise `False`.
|
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Notes
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-----
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If two axes with different positions are sharing an axis, they can be
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