基于facet在Seaborn FacetGrid中自定义标题 [英] Customizing titles in Seaborn FacetGrid based on facet

问题描述

想做一个分面网格，以变量名为列，部门为行，每个小图都是y=value和x=date的散点图

want to make a facet grid with variable names as the columns, and departments as the rows, and each small chart is a scatter chart of y=value and x=date

我的数据有点像这样:

import pandas as pd import numpy as np import seaborn as sns import matplotlib.pyplot as plt from datetime import datetime import matplotlib.dates as mdates import random

datelist = pd.date_range(start="march 1 2020", end="may 20 2020", freq="w").tolist()
varlist = ["x", "y", "z", "x", "y", "z", "x", "y", "z", "x", "y", "z"]
deptlist = ["a", "a", "b", "a", "a", "b", "a", "a", "b", "a", "a", "b"]
vallist =  random.sample(range(10, 30), 12)
df = pd.DataFrame({'date': datelist, 'value': vallist, 'variable': varlist, 'department': deptlist})

我想像这样创建一个 Seaborn Facetgrid:

I want to create a Seaborn Facetgrid like this:

g = sns.FacetGrid(df, row="department", col="variable", sharey='row')

我想更改 Y 轴标签以包含部门名称，例如部门 A"等.但根据我使用的数据，特定部门可能会有所不同.所以我想用我从 g 中提取的东西来参数化 Y 轴标签的设置，它告诉我映射到某个行的特定变量.我一直在四处挖掘，虽然我确定它存在，但我找不到它.

I would like to change the Y axis labels to contain the name of the department, so, "Department A" etc. But based on the data I am using, the particular departments might differ. So I would like to parameterize the setting of the Y Axis Label with something I pull out of g which tells me the particular variable that got mapped to a certain Row. I've been digging around and while I am sure it exists I can't find it.

推荐答案

您可以使用 set_ylabel() 或 set_xlabel 来更改特定方面的标签.因此，在您提供的示例中， department = a |variable = x facet 为 [0,0]，下一个标签为 [1,0].

You can use set_ylabel() or set_xlabel to change the labels at the specific facet. So in the example you have provide, the department = a | variable = x facet will be [0,0] and the next label at [1,0].

所以我们可以试试这个，使用 row_order 输入来确保它们的顺序相同:

So we can try this, using a row_order input to ensure we have them in the same order:

rowOrder = ['a','b']
g = sns.FacetGrid(df, row="department", col="variable", sharey='row',row_order=rowOrder)
g = g.map(plt.scatter, "value", "value")
for i in range(len(rowOrder)):
    g.axes[i,0].set_ylabel(rowOrder[i])

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