| +++++++++++++++++ | |
| 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 | |
| Legends <legend_guide> | |
| Subplot mosaic <mosaic> | |
| .. toctree:: | |
| :maxdepth: 1 | |
| :includehidden: | |
| Constrained layout guide <constrainedlayout_guide> | |
| Tight layout guide (mildly discouraged) <tight_layout_guide> | |