matplotlib:在忽略缺失数据的点之间画线 [英] matplotlib: drawing lines between points ignoring missing data

问题描述

我有一组数据，我想将其绘制为折线图.对于每个系列，都缺少一些数据(但每个系列都不同).目前 matplotlib 不绘制跳过丢失数据的线:例如

I have a set of data which I want plotted as a line-graph. For each series, some data is missing (but different for each series). Currently matplotlib does not draw lines which skip missing data: for example

import matplotlib.pyplot as plt

xs = range(8)
series1 = [1, 3, 3, None, None, 5, 8, 9]
series2 = [2, None, 5, None, 4, None, 3, 2]

plt.plot(xs, series1, linestyle='-', marker='o')
plt.plot(xs, series2, linestyle='-', marker='o')

plt.show()

导致图中线条有间隙.我怎样才能告诉 matplotlib 通过间隙画线?(我宁愿不必插入数据).

results in a plot with gaps in the lines. How can I tell matplotlib to draw lines through the gaps? (I'd rather not have to interpolate the data).

推荐答案

您可以通过以下方式屏蔽 NaN 值:

You can mask the NaN values this way:

import numpy as np
import matplotlib.pyplot as plt

xs = np.arange(8)
series1 = np.array([1, 3, 3, None, None, 5, 8, 9]).astype(np.double)
s1mask = np.isfinite(series1)
series2 = np.array([2, None, 5, None, 4, None, 3, 2]).astype(np.double)
s2mask = np.isfinite(series2)

plt.plot(xs[s1mask], series1[s1mask], linestyle='-', marker='o')
plt.plot(xs[s2mask], series2[s2mask], linestyle='-', marker='o')

plt.show()

这导致

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