matplotlib:在点之间画线，忽略丢失的数据 [英] matplotlib: drawing lines between points ignoring missing data

问题描述

我有一组要绘制为折线图的数据.对于每个系列，缺少一些数据(但每个系列都不同).目前，matplotlib不会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()

生成的图形中的线条之间有间隙.我该如何告诉matplotlib在空白处画线? (我宁愿不必插值数据).

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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