python - 如何为 seaborn FacetGrid 和图形级 xtick 标签设置旋转

Question

我有一个如下所示的数据框 (df):

import pandas as pd
import seaborn as sns

data = {'Year': [2010, 2010, 2010, 2011, 2011, 2011, 2019, 2019, 2019],
        'Capacity': ['4,999 and under', '5,000-6,000', '6,100-7,000', '4,999 and under', '5,000-6,000', '6,100-7,000', '4,999 and under', '5,000-6,000', '6,100-7,000'],
        'Qty': [2, 1, 3, 5, 3, 3, 1, 3, 4]}

df = pd.DataFrame(data)

我想在网格中生成子图，每年一个图。每个地 block 都有 x='Capacity', y='Qty'。

g = sns.FacetGrid(df, col="Year", col_wrap=3, height=4, aspect=1)
g.map(sns.barplot, "BTU_Rating", "qty")

如何添加 "Capacity" 列中列出的 xtick 标签？

感谢您的帮助。

Answer 1

• 指定g.set_xticklabels(rotation=x)

更新的答案

• 根据 seaborn.FacetGrid现在更喜欢使用图形级函数
• 使用seaborn.catplot
• seaborn v0.11.0

import pandas as pd
import seaborn as sns

order = ['4,999 and under', '5,000-6,000', '6,100-7,000']
g = sns.catplot(data=df, col='Year', x='Capacity', y='Qty', order=order, kind='bar', col_wrap=3, height=4, aspect=1)
g.set_xticklabels(rotation=90)

原始答案

import pandas as pd
import seaborn as sns

g = sns.FacetGrid(df, col="Year", col_wrap=3, height=4, aspect=1)

order = ['4,999 and under', '5,000-6,000', '6,100-7,000']
g.map(sns.barplot, "Capacity", "Qty", order=order)

g.set_xticklabels(rotation=90)