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"""
============
hist2d(x, y)
============
Make a 2D histogram plot.
See `~matplotlib.axes.Axes.hist2d`.
"""
import matplotlib.pyplot as plt
import numpy as np
plt.style.use('_mpl-gallery-nogrid')
# make data: correlated + noise
np.random.seed(1)
x = np.random.randn(5000)
y = 1.2 * x + np.random.randn(5000) / 3
# plot:
fig, ax = plt.subplots()
ax.hist2d(x, y, bins=(np.arange(-3, 3, 0.1), np.arange(-3, 3, 0.1)))
ax.set(xlim=(-2, 2), ylim=(-3, 3))
plt.show()
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