我试图利用这个数据透视表,创建一个按战斗类型划分的胜负堆积条形图。在
import pandas as pd
import numpy as np
np.random.seed(1)
df = pd.DataFrame({'attacker_outcome':np.random.choice(['win', 'loss'], 20, replace=True),
'battle_type':np.random.choice(['pitched battle', 'siege', 'ambush', 'razing'], 20, replace=True)})
attacker_outcome battle_type
0 loss ambush
1 loss siege
2 win ambush
3 loss siege
4 loss siege
5 win ambush
6 win siege
7 win razing
8 loss siege
9 loss ambush
10 loss razing
11 loss siege
12 win razing
13 loss razing
14 win ambush
15 win pitched battle
16 loss ambush
17 loss siege
18 win pitched battle
19 loss siege
我试图初始化一个新列groupby
和{
感谢任何帮助!在
这里的代码有点紧:
通过Minimally Sufficient Pandas
结果
您可以通过分组和取消堆叠来完成此操作:
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