| """ | |
| ====== | |
| Spines | |
| ====== | |
| This demo compares: | |
| - normal Axes, with spines on all four sides; | |
| - an Axes with spines only on the left and bottom; | |
| - an Axes using custom bounds to limit the extent of the spine. | |
| Each `.axes.Axes` has a list of `.Spine` objects, accessible | |
| via the container ``ax.spines``. | |
| .. redirect-from:: /gallery/spines/spines_bounds | |
| """ | |
| import matplotlib.pyplot as plt | |
| import numpy as np | |
| x = np.linspace(0, 2 * np.pi, 100) | |
| y = 2 * np.sin(x) | |
| # Constrained layout makes sure the labels don't overlap the axes. | |
| fig, (ax0, ax1, ax2) = plt.subplots(nrows=3, layout='constrained') | |
| ax0.plot(x, y) | |
| ax0.set_title('normal spines') | |
| ax1.plot(x, y) | |
| ax1.set_title('bottom-left spines') | |
| # Hide the right and top spines | |
| ax1.spines.right.set_visible(False) | |
| ax1.spines.top.set_visible(False) | |
| ax2.plot(x, y) | |
| ax2.set_title('spines with bounds limited to data range') | |
| # Only draw spines for the data range, not in the margins | |
| ax2.spines.bottom.set_bounds(x.min(), x.max()) | |
| ax2.spines.left.set_bounds(y.min(), y.max()) | |
| # Hide the right and top spines | |
| ax2.spines.right.set_visible(False) | |
| ax2.spines.top.set_visible(False) | |
| plt.show() | |
| # %% | |
| # | |
| # .. admonition:: References | |
| # | |
| # The use of the following functions, methods, classes and modules is shown | |
| # in this example: | |
| # | |
| # - `matplotlib.artist.Artist.set_visible` | |
| # - `matplotlib.spines.Spine.set_bounds` | |