In matplotlib, how do I plot error as a shaded region rather than error bars?

For example:

rather than

Answer rating: 174

Ignoring the smooth interpolation between points in your example graph (that would require doing some manual interpolation, or just have a higher resolution of your data), you can use pyplot.fill_between():

from matplotlib import pyplot as plt
import numpy as np

x = np.linspace(0, 30, 30)
y = np.sin(x/6*np.pi)
error = np.random.normal(0.1, 0.02, size=y.shape)
y += np.random.normal(0, 0.1, size=y.shape)

plt.plot(x, y, "k-")
plt.fill_between(x, y-error, y+error)
plt.show()

See also the matplotlib examples.

Answer rating: 144

This is basically the same answer provided by Evert, but extended to show-off some cool options of fill_between

from matplotlib import pyplot as pl
import numpy as np

pl.clf()
pl.hold(1)

x = np.linspace(0, 30, 100)
y = np.sin(x) * 0.5
pl.plot(x, y, "-k")


x = np.linspace(0, 30, 30)
y = np.sin(x/6*np.pi)
error = np.random.normal(0.1, 0.02, size=y.shape) +.1
y += np.random.normal(0, 0.1, size=y.shape)

pl.plot(x, y, "k", color="#CC4F1B")
pl.fill_between(x, y-error, y+error,
    alpha=0.5, edgecolor="#CC4F1B", facecolor="#FF9848")

y = np.cos(x/6*np.pi)    
error = np.random.rand(len(y)) * 0.5
y += np.random.normal(0, 0.1, size=y.shape)
pl.plot(x, y, "k", color="#1B2ACC")
pl.fill_between(x, y-error, y+error,
    alpha=0.2, edgecolor="#1B2ACC", facecolor="#089FFF",
    linewidth=4, linestyle="dashdot", antialiased=True)



y = np.cos(x/6*np.pi)  + np.sin(x/3*np.pi)  
error = np.random.rand(len(y)) * 0.5
y += np.random.normal(0, 0.1, size=y.shape)
pl.plot(x, y, "k", color="#3F7F4C")
pl.fill_between(x, y-error, y+error,
    alpha=1, edgecolor="#3F7F4C", facecolor="#7EFF99",
    linewidth=0)



pl.show()