.. only:: html
.. note::
:class: sphx-glr-download-link-note
Click :ref:`here ` to download the full example code
.. rst-class:: sphx-glr-example-title
.. _sphx_glr_tutorials_intermediate_gridspec.py:
=============================================================
Customizing Figure Layouts Using GridSpec and Other Functions
=============================================================
How to create grid-shaped combinations of axes.
:func:`~matplotlib.pyplot.subplots`
Perhaps the primary function used to create figures and axes.
It's also similar to :func:`.matplotlib.pyplot.subplot`,
but creates and places all axes on the figure at once. See also
`matplotlib.figure.Figure.subplots`.
:class:`~matplotlib.gridspec.GridSpec`
Specifies the geometry of the grid that a subplot will be
placed. The number of rows and number of columns of the grid
need to be set. Optionally, the subplot layout parameters
(e.g., left, right, etc.) can be tuned.
:class:`~matplotlib.gridspec.SubplotSpec`
Specifies the location of the subplot in the given *GridSpec*.
:func:`~matplotlib.pyplot.subplot2grid`
A helper function that is similar to
:func:`~matplotlib.pyplot.subplot`,
but uses 0-based indexing and let subplot to occupy multiple cells.
This function is not covered in this tutorial.
.. code-block:: default
import matplotlib
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
Basic Quickstart Guide
======================
These first two examples show how to create a basic 2-by-2 grid using
both :func:`~matplotlib.pyplot.subplots` and :mod:`~matplotlib.gridspec`.
Using :func:`~matplotlib.pyplot.subplots` is quite simple.
It returns a :class:`~matplotlib.figure.Figure` instance and an array of
:class:`~matplotlib.axes.Axes` objects.
.. code-block:: default
fig1, f1_axes = plt.subplots(ncols=2, nrows=2, constrained_layout=True)
.. image:: /tutorials/intermediate/images/sphx_glr_gridspec_001.png
:alt: gridspec
:class: sphx-glr-single-img
For a simple use case such as this, :mod:`~matplotlib.gridspec` is
perhaps overly verbose.
You have to create the figure and :class:`~matplotlib.gridspec.GridSpec`
instance separately, then pass elements of gridspec instance to the
:func:`~matplotlib.figure.Figure.add_subplot` method to create the axes
objects.
The elements of the gridspec are accessed in generally the same manner as
numpy arrays.
.. code-block:: default
fig2 = plt.figure(constrained_layout=True)
spec2 = gridspec.GridSpec(ncols=2, nrows=2, figure=fig2)
f2_ax1 = fig2.add_subplot(spec2[0, 0])
f2_ax2 = fig2.add_subplot(spec2[0, 1])
f2_ax3 = fig2.add_subplot(spec2[1, 0])
f2_ax4 = fig2.add_subplot(spec2[1, 1])
.. image:: /tutorials/intermediate/images/sphx_glr_gridspec_002.png
:alt: gridspec
:class: sphx-glr-single-img
The power of gridspec comes in being able to create subplots that span
rows and columns. Note the `NumPy slice syntax
`_
for selecting the part of the gridspec each subplot will occupy.
Note that we have also used the convenience method `.Figure.add_gridspec`
instead of `.gridspec.GridSpec`, potentially saving the user an import,
and keeping the namespace cleaner.
.. code-block:: default
fig3 = plt.figure(constrained_layout=True)
gs = fig3.add_gridspec(3, 3)
f3_ax1 = fig3.add_subplot(gs[0, :])
f3_ax1.set_title('gs[0, :]')
f3_ax2 = fig3.add_subplot(gs[1, :-1])
f3_ax2.set_title('gs[1, :-1]')
f3_ax3 = fig3.add_subplot(gs[1:, -1])
f3_ax3.set_title('gs[1:, -1]')
f3_ax4 = fig3.add_subplot(gs[-1, 0])
f3_ax4.set_title('gs[-1, 0]')
f3_ax5 = fig3.add_subplot(gs[-1, -2])
f3_ax5.set_title('gs[-1, -2]')
.. image:: /tutorials/intermediate/images/sphx_glr_gridspec_003.png
:alt: gs[0, :], gs[1, :-1], gs[1:, -1], gs[-1, 0], gs[-1, -2]
:class: sphx-glr-single-img
.. rst-class:: sphx-glr-script-out
Out:
.. code-block:: none
Text(0.5, 1.0, 'gs[-1, -2]')
:mod:`~matplotlib.gridspec` is also indispensable for creating subplots
of different widths via a couple of methods.
The method shown here is similar to the one above and initializes a
uniform grid specification,
and then uses numpy indexing and slices to allocate multiple
"cells" for a given subplot.
.. code-block:: default
fig4 = plt.figure(constrained_layout=True)
spec4 = fig4.add_gridspec(ncols=2, nrows=2)
anno_opts = dict(xy=(0.5, 0.5), xycoords='axes fraction',
va='center', ha='center')
f4_ax1 = fig4.add_subplot(spec4[0, 0])
f4_ax1.annotate('GridSpec[0, 0]', **anno_opts)
fig4.add_subplot(spec4[0, 1]).annotate('GridSpec[0, 1:]', **anno_opts)
fig4.add_subplot(spec4[1, 0]).annotate('GridSpec[1:, 0]', **anno_opts)
fig4.add_subplot(spec4[1, 1]).annotate('GridSpec[1:, 1:]', **anno_opts)
.. image:: /tutorials/intermediate/images/sphx_glr_gridspec_004.png
:alt: gridspec
:class: sphx-glr-single-img
.. rst-class:: sphx-glr-script-out
Out:
.. code-block:: none
Text(0.5, 0.5, 'GridSpec[1:, 1:]')
Another option is to use the ``width_ratios`` and ``height_ratios``
parameters. These keyword arguments are lists of numbers.
Note that absolute values are meaningless, only their relative ratios
matter. That means that ``width_ratios=[2, 4, 8]`` is equivalent to
``width_ratios=[1, 2, 4]`` within equally wide figures.
For the sake of demonstration, we'll blindly create the axes within
``for`` loops since we won't need them later.
.. code-block:: default
fig5 = plt.figure(constrained_layout=True)
widths = [2, 3, 1.5]
heights = [1, 3, 2]
spec5 = fig5.add_gridspec(ncols=3, nrows=3, width_ratios=widths,
height_ratios=heights)
for row in range(3):
for col in range(3):
ax = fig5.add_subplot(spec5[row, col])
label = 'Width: {}\nHeight: {}'.format(widths[col], heights[row])
ax.annotate(label, (0.1, 0.5), xycoords='axes fraction', va='center')
.. image:: /tutorials/intermediate/images/sphx_glr_gridspec_005.png
:alt: gridspec
:class: sphx-glr-single-img
Learning to use ``width_ratios`` and ``height_ratios`` is particularly
useful since the top-level function :func:`~matplotlib.pyplot.subplots`
accepts them within the ``gridspec_kw`` parameter.
For that matter, any parameter accepted by
:class:`~matplotlib.gridspec.GridSpec` can be passed to
:func:`~matplotlib.pyplot.subplots` via the ``gridspec_kw`` parameter.
This example recreates the previous figure without directly using a
gridspec instance.
.. code-block:: default
gs_kw = dict(width_ratios=widths, height_ratios=heights)
fig6, f6_axes = plt.subplots(ncols=3, nrows=3, constrained_layout=True,
gridspec_kw=gs_kw)
for r, row in enumerate(f6_axes):
for c, ax in enumerate(row):
label = 'Width: {}\nHeight: {}'.format(widths[c], heights[r])
ax.annotate(label, (0.1, 0.5), xycoords='axes fraction', va='center')
.. image:: /tutorials/intermediate/images/sphx_glr_gridspec_006.png
:alt: gridspec
:class: sphx-glr-single-img
The ``subplots`` and ``get_gridspec`` methods can be combined since it is
sometimes more convenient to make most of the subplots using ``subplots``
and then remove some and combine them. Here we create a layout with
the bottom two axes in the last column combined.
.. code-block:: default
fig7, f7_axs = plt.subplots(ncols=3, nrows=3)
gs = f7_axs[1, 2].get_gridspec()
# remove the underlying axes
for ax in f7_axs[1:, -1]:
ax.remove()
axbig = fig7.add_subplot(gs[1:, -1])
axbig.annotate('Big Axes \nGridSpec[1:, -1]', (0.1, 0.5),
xycoords='axes fraction', va='center')
fig7.tight_layout()
.. image:: /tutorials/intermediate/images/sphx_glr_gridspec_007.png
:alt: gridspec
:class: sphx-glr-single-img
Fine Adjustments to a Gridspec Layout
=====================================
When a GridSpec is explicitly used, you can adjust the layout
parameters of subplots that are created from the GridSpec. Note this
option is not compatible with ``constrained_layout`` or
`.Figure.tight_layout` which both adjust subplot sizes to fill the
figure.
.. code-block:: default
fig8 = plt.figure(constrained_layout=False)
gs1 = fig8.add_gridspec(nrows=3, ncols=3, left=0.05, right=0.48, wspace=0.05)
f8_ax1 = fig8.add_subplot(gs1[:-1, :])
f8_ax2 = fig8.add_subplot(gs1[-1, :-1])
f8_ax3 = fig8.add_subplot(gs1[-1, -1])
.. image:: /tutorials/intermediate/images/sphx_glr_gridspec_008.png
:alt: gridspec
:class: sphx-glr-single-img
This is similar to :func:`~matplotlib.pyplot.subplots_adjust`, but it only
affects the subplots that are created from the given GridSpec.
For example, compare the left and right sides of this figure:
.. code-block:: default
fig9 = plt.figure(constrained_layout=False)
gs1 = fig9.add_gridspec(nrows=3, ncols=3, left=0.05, right=0.48,
wspace=0.05)
f9_ax1 = fig9.add_subplot(gs1[:-1, :])
f9_ax2 = fig9.add_subplot(gs1[-1, :-1])
f9_ax3 = fig9.add_subplot(gs1[-1, -1])
gs2 = fig9.add_gridspec(nrows=3, ncols=3, left=0.55, right=0.98,
hspace=0.05)
f9_ax4 = fig9.add_subplot(gs2[:, :-1])
f9_ax5 = fig9.add_subplot(gs2[:-1, -1])
f9_ax6 = fig9.add_subplot(gs2[-1, -1])
.. image:: /tutorials/intermediate/images/sphx_glr_gridspec_009.png
:alt: gridspec
:class: sphx-glr-single-img
GridSpec using SubplotSpec
==========================
You can create GridSpec from the :class:`~matplotlib.gridspec.SubplotSpec`,
in which case its layout parameters are set to that of the location of
the given SubplotSpec.
Note this is also available from the more verbose
`.gridspec.GridSpecFromSubplotSpec`.
.. code-block:: default
fig10 = plt.figure(constrained_layout=True)
gs0 = fig10.add_gridspec(1, 2)
gs00 = gs0[0].subgridspec(2, 3)
gs01 = gs0[1].subgridspec(3, 2)
for a in range(2):
for b in range(3):
fig10.add_subplot(gs00[a, b])
fig10.add_subplot(gs01[b, a])
.. image:: /tutorials/intermediate/images/sphx_glr_gridspec_010.png
:alt: gridspec
:class: sphx-glr-single-img
A Complex Nested GridSpec using SubplotSpec
===========================================
Here's a more sophisticated example of nested GridSpec where we put
a box around each cell of the outer 4x4 grid, by hiding appropriate
spines in each of the inner 3x3 grids.
.. code-block:: default
import numpy as np
def squiggle_xy(a, b, c, d, i=np.arange(0.0, 2*np.pi, 0.05)):
return np.sin(i*a)*np.cos(i*b), np.sin(i*c)*np.cos(i*d)
fig11 = plt.figure(figsize=(8, 8), constrained_layout=False)
outer_grid = fig11.add_gridspec(4, 4, wspace=0, hspace=0)
for a in range(4):
for b in range(4):
# gridspec inside gridspec
inner_grid = outer_grid[a, b].subgridspec(3, 3, wspace=0, hspace=0)
axs = inner_grid.subplots() # Create all subplots for the inner grid.
for (c, d), ax in np.ndenumerate(axs):
ax.plot(*squiggle_xy(a + 1, b + 1, c + 1, d + 1))
ax.set(xticks=[], yticks=[])
# show only the outside spines
for ax in fig11.get_axes():
ax.spines['top'].set_visible(ax.is_first_row())
ax.spines['bottom'].set_visible(ax.is_last_row())
ax.spines['left'].set_visible(ax.is_first_col())
ax.spines['right'].set_visible(ax.is_last_col())
plt.show()
.. image:: /tutorials/intermediate/images/sphx_glr_gridspec_011.png
:alt: gridspec
:class: sphx-glr-single-img
------------
References
""""""""""
The usage of the following functions and methods is shown in this example:
.. code-block:: default
matplotlib.pyplot.subplots
matplotlib.figure.Figure.add_gridspec
matplotlib.figure.Figure.add_subplot
matplotlib.gridspec.GridSpec
matplotlib.gridspec.SubplotSpec.subgridspec
matplotlib.gridspec.GridSpecFromSubplotSpec
.. rst-class:: sphx-glr-timing
**Total running time of the script:** ( 0 minutes 12.046 seconds)
.. _sphx_glr_download_tutorials_intermediate_gridspec.py:
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:class: sphx-glr-footer-example
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:download:`Download Python source code: gridspec.py `
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