| """ | |
| ===================== | |
| Hexagonal binned plot | |
| ===================== | |
| `~.Axes.hexbin` is a 2D histogram plot, in which the bins are hexagons and | |
| the color represents the number of data points within each bin. | |
| """ | |
| import matplotlib.pyplot as plt | |
| import numpy as np | |
| # Fixing random state for reproducibility | |
| np.random.seed(19680801) | |
| n = 100_000 | |
| x = np.random.standard_normal(n) | |
| y = 2.0 + 3.0 * x + 4.0 * np.random.standard_normal(n) | |
| xlim = x.min(), x.max() | |
| ylim = y.min(), y.max() | |
| fig, (ax0, ax1) = plt.subplots(ncols=2, sharey=True, figsize=(9, 4)) | |
| hb = ax0.hexbin(x, y, gridsize=50, cmap='inferno') | |
| ax0.set(xlim=xlim, ylim=ylim) | |
| ax0.set_title("Hexagon binning") | |
| cb = fig.colorbar(hb, ax=ax0, label='counts') | |
| hb = ax1.hexbin(x, y, gridsize=50, bins='log', cmap='inferno') | |
| ax1.set(xlim=xlim, ylim=ylim) | |
| ax1.set_title("With a log color scale") | |
| cb = fig.colorbar(hb, ax=ax1, label='log10(N)') | |
| plt.show() | |
| # %% | |
| # | |
| # .. admonition:: References | |
| # | |
| # The use of the following functions, methods, classes and modules is shown | |
| # in this example: | |
| # | |
| # - `matplotlib.axes.Axes.hexbin` / `matplotlib.pyplot.hexbin` | |