You are reading documentation for the unreleased version of Matplotlib. Try searching for the released version of this page instead?
Applications are open for the 2018 John Hunter Matplotlib Summer Fellowship. Apply now!
Version 2.2.2.post1752+g4b1f956cb
Fork me on GitHub

Related Topics

Fill plot demoΒΆ

Demo fill plot.

First, the most basic fill plot a user can make with matplotlib:

import numpy as np
import matplotlib.pyplot as plt

x = [0, 1, 2, 1]
y = [1, 2, 1, 0]

fig, ax = plt.subplots()
ax.fill(x, y)

Next, a few more optional features:

  • Multiple curves with a single command.
  • Setting the fill color.
  • Setting the opacity (alpha value).
x = np.linspace(0, 1.5 * np.pi, 500)
y1 = np.sin(x)
y2 = np.sin(3 * x)

fig, ax = plt.subplots()

ax.fill(x, y1, 'b', x, y2, 'r', alpha=0.3)

# Outline of the region we've filled in
ax.plot(x, y1, c='b', alpha=0.8)
ax.plot(x, y2, c='r', alpha=0.8)
ax.plot([x[0], x[-1]], [y1[0], y1[-1]], c='b', alpha=0.8)
ax.plot([x[0], x[-1]], [y2[0], y2[-1]], c='r', alpha=0.8)

Keywords: matplotlib code example, codex, python plot, pyplot Gallery generated by Sphinx-Gallery