Matplotlib-如何为一系列绘图设置ylim（）？ [英] Matplotlib - How do I set ylim() for a series of plots?

问题描述

我要制作一系列箱形图，每个箱形图的范围都不同。我尝试通过确定每个单独系列的最大值和最小值来设置ylim。但是，在许多情况下，最小值是一个离群值，因此该图被压缩了。如何选择情节胡须使用的相同限制（加上少量保证金）？

I have a series of box plots I am trying to make, each of which has a different range. I tried setting ylim by determining the max and min of each separate series. However, the min in many cases is an outlier, and so the plot is compressed. How can I select the same limit used by the 'whiskers' of the plot (plus a small margin)?

例如，现在我正在这样做：

Eg, right now I'm doing this:

[In]
ax = df['feature'].boxplot()
ymax = max(df['feature']
ymin = min(df['feature']
ax.set_ylim([ymax,ymin])

我想将ymax设置为

推荐答案

作为@unutbu建议的替代方案，您可以避免绘制离群值，然后使用 ax.margins（y = 0）（或一些小的 eps ）可将限制范围扩展到晶须的范围。

As an alternative to what @unutbu suggested, you could avoid plotting the outliers and then use ax.margins(y=0) (or some small eps) to scale the limits to the range of the whiskers.

例如：

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt

df = pd.DataFrame(np.random.poisson(5, size=(100, 5)))

fig, ax = plt.subplots()
#Note showfliers=False is more readable, but requires a recent version iirc
box = df.boxplot(ax=ax, sym='') 
ax.margins(y=0)
plt.show()

如果您想在最大的晶须周围留一点空间，请使用 ax.margins（0.05 ）添加范围的5％而不是范围的0％：

And if you'd like a bit of room around the largest "whiskers", use ax.margins(0.05) to add 5% of the range instead of 0% of the range:

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt

df = pd.DataFrame(np.random.poisson(5, size=(100, 5)))

fig, ax = plt.subplots()
box = df.boxplot(ax=ax, sym='')
ax.margins(y=0.05)
plt.show()

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