Python matplotlib/Pandas 中的水平箱线图
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Horizontal box plots in matplotlib/Pandas
提问by Amelio Vazquez-Reina
Bar plots:
条形图：
matplotliboffers the function barand barhto do verticaland horizontalbar plots.
matplotlib提供功能bar和barh做垂直和水平条形图。
Box plots:
箱线图：
matplotlibalso offers the function boxplotto do verticalbox plots.
matplotlib还提供了boxplot做垂直箱线图的功能。
And Pandasoffers its own functionfor verticalbox plots.
But is there any way in matplotlib or Pandas to get a horizontalbox plot?
但是在 matplotlib 或 Pandas 中有什么方法可以获得水平箱线图吗？
采纳答案by unutbu
matplotlib's boxplot(..., vert=False)makes horizontal box plots.
The keyword parameter vert=Falsecan also be passed to DataFrame.boxplot:
matplotlibboxplot(..., vert=False)制作水平箱线图。关键字参数vert=False也可以传递给DataFrame.boxplot：
import matplotlib.pyplot as plt
import pandas as pd
x = [[1.2, 2.3, 3.0, 4.5],
[1.1, 2.2, 2.9, 5.0]]
df = pd.DataFrame(x, index=['Age of pregnant women', 'Age of pregnant men'])
df.T.boxplot(vert=False)
plt.subplots_adjust(left=0.25)
plt.show()
I see from the comment (below) that the motivation for making a horizontal box plot is that the labels are rather long. Another option in that case might be to rotate the xticklabels:
我从评论（下面）中看到，制作水平箱线图的动机是标签相当长。在这种情况下，另一种选择可能是旋转 xticklabels：
import matplotlib.pyplot as plt
import pandas as pd
x = [[1.2, 2.3, 3.0, 4.5],
[1.1, 2.2, 2.9, 5.0]]
df = pd.DataFrame(x, index=['Age of pregnant women', 'Age of pregnant men'])
df.T.boxplot()
plt.subplots_adjust(bottom=0.25)
plt.xticks(rotation=25)
plt.show()
回答by MasterOne Piece
vert=False stands # for "no vertical"
Use by='categorical_feature name' to make box for every level plt.tight_layout() # kills any overlapping plots (not always) Matplotlib and Pandas are really easy when you master them and you can do powerful plots using them.
使用 by='categorical_feature name' 为每个级别制作框 plt.tight_layout() # 消除任何重叠的图（并非总是如此）当您掌握 Matplotlib 和 Pandas 时，它们真的很容易，并且您可以使用它们来制作强大的图。
