Axes and subplots - Matplotlib

+++++++++++++++++ Axes and subplots +++++++++++++++++

Matplotlib ~.axes.Axes are the gateway to creating your data visualizations. Once an Axes is placed on a figure there are many methods that can be used to add data to the Axes. An Axes typically has a pair of ~.axis.Axis Artists that define the data coordinate system, and include methods to add annotations like x- and y-labels, titles, and legends.

.. plot::

import matplotlib.pyplot as plt
import numpy as np

fig, axs = plt.subplots(ncols=2, nrows=2, figsize=(3.5, 2.5),
                        layout="constrained")
# for each Axes, add an artist, in this case a nice label in the middle...
for row in range(2):
    for col in range(2):
        axs[row, col].annotate(f'axs[{row}, {col}]', (0.5, 0.5),
                            transform=axs[row, col].transAxes,
                            ha='center', va='center', fontsize=18,
                            color='darkgrey')
fig.suptitle('plt.subplots()')

.. toctree:: :maxdepth: 2

axes_intro

.. toctree:: :maxdepth: 1

arranging_axes
colorbar_placement
Autoscaling axes <autoscale>

.. toctree:: :maxdepth: 2 :includehidden:

axes_scales
axes_ticks
axes_units
Legends <legend_guide>
Subplot mosaic <mosaic>

.. toctree:: :maxdepth: 1 :includehidden:

Constrained layout guide <constrainedlayout_guide>
Tight layout guide (mildly discouraged) <tight_layout_guide>