Python 将 yerr/xerr 绘制为阴影区域而不是误差线
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Plot yerr/xerr as shaded region rather than error bars
提问by Austin Richardson
In matplotlib, how do I plot error as a shaded region rather than error bars?
在 matplotlib 中，如何将错误绘制为阴影区域而不是误差条？
For example:
例如：
rather than
而不是
采纳答案by Austin Richardson
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():
忽略示例图中点之间的平滑插值（这需要进行一些手动插值，或者只是具有更高的数据分辨率），您可以使用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.
另请参阅matplotlib 示例。
回答by Boris Gorelik
This is basically the same answer provided by Evert, but extended to show-off
some cool options of fill_between
这与 Evert 提供的答案基本相同，但扩展到炫耀一些很酷的选项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()
