即使调整了大小，如何在图例和轴之间获得恒定的距离? [英] How to get constant distance between legend and axes even when the figure is resized?

问题描述

如此答案中所述，使用bbox_to_anchor将图例放置在轴外时，轴与调整图的大小时，图例会更改.对于静态导出图，这很好.您可以简单地调整数字，直到正确为止.但是对于可能需要调整大小的交互式绘图，这是一个问题.如本例所示:

When placing the legend outside of the axes using bbox_to_anchor as in this answer, the space between the axes and the legend changes when the figure is resized. For static exported plots this is fine; you can simply tweak the numbers until you get it right. But for interactive plots that you might want to resize, this is a problem. As can be seen in this example:

import numpy as np
from matplotlib import pyplot as plt

x = np.arange(5)
y = np.random.randn(5)

fig, ax = plt.subplots(tight_layout=True)
ax.plot(x, y, label='data1')
ax.plot(x, y-1, label='data2')
legend = ax.legend(loc='upper center', bbox_to_anchor=(0.5, -0.05), ncol=2)
plt.show()

结果:

即使调整了图形的尺寸，如何确保图例与轴之间保持相同的距离?

How can I make sure that the legend keeps the same distance from the axes even when the figure is resized?

推荐答案

图例距边界框边缘的距离由borderaxespad参数设置. borderaxespad以fontsize的倍数为单位-使其自动独立于轴大小. 因此，在这种情况下

The distance of a legend from the bounding box edge is set by the borderaxespad argument. The borderaxespad is in units of multiples of the fontsize - making it automatically independent of the axes size. So in this case,

import matplotlib.pyplot as plt
import numpy as np
x = np.arange(5)
y = np.random.randn(5)

fig, ax = plt.subplots(constrained_layout=True)
ax.plot(x, y, label='data1')
ax.plot(x, y-1, label='data2')
legend = ax.legend(loc="upper center", bbox_to_anchor=(0.5,0), borderaxespad=2)

plt.show()

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