可以收藏：如何用seaborn简单有效的画出多个barplot

有时我们想在子图中绘制多个条形图（barplot)，这个例子展示了一个很好的方法。

上传样本数据

import seaborn as sns
sns.set_theme(style="whitegrid")
tips = sns.load_dataset("tips")

tips.head(2)

	total_bill	tip	sex	smoker	day	time	size
0	16.99	1.01	Female	No	Sun	Dinner	2
1	10.34	1.66	Male	No	Sun	Dinner	3

按日期和性别聚合数据，并汇总每个维度下的小费（tips)

tips_agg = tips.groupby(['day','sex'])['tip'].sum().reset_index()
tips_agg

	day	sex	tip
0	Thur	Male	89.41
1	Thur	Female	82.42
2	Fri	Male	26.93
3	Fri	Female	25.03
4	Sat	Male	181.95
5	Sat	Female	78.45
6	Sun	Male	186.78
7	Sun	Female	60.61

如果未安装，请安装最新的 seaborn 包

!pip install seaborn==0.11.2

可视化数据中每个不同工作日的男性与女性的小费数量

from matplotlib import pyplot as plt
import seaborn as sns
import math

# automatically adjust the rows and colums 
all_days = list(set(tips_agg['day']))
n_cols = 3
n_rows = math.ceil(len(all_days)/n_cols)


# give the figsize
fig, axes = plt.subplots( n_rows, n_cols, figsize=(20, 10))


for i in range(n_rows):
  for j in range(n_cols):
    index = i*n_cols+j
    
    if index >= len(all_days):
      break

    day = all_days[index]
    bp = sns.barplot(ax=axes[i, j], data=tips_agg[tips_agg['day']==day], x='sex', y='tip')
    bp.set(title=day)
    for item in bp.get_xticklabels():
        item.set_rotation(45)

# if the x axis title is very long, this configuration will be very useful 
plt.tight_layout()