In matplotlib, how do I plot error as a shaded region rather than error bars?
For example:
rather than
This question is related to
python
matplotlib
The answer is
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.
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()
Source: Stackoverflow.com