如何透视熊猫数据框？

Question

我的DataFrame看起来像这样：

如何为每个Budget拥有Division？

应如下所示：

import pandas as pd 

df=pd.DataFrame ({
'TotalAmount':[500,600,780,900],
'Division': ['Commercial Auto', 'Commercial Auto','Surety', 'Worker''s Comp'],
'MonthNumber':[1,2,3,4],
'YearNumber': [2019,2019,2019,2019],
'Budget': [550,570,700,920],
'PostDate': ['2019-01-01', '2019-02-01','2019-03-01','2019-04-01']
})
#print(df)
t = pd.pivot_table(df, values='Budget', index='Division',columns='MonthNumber',fill_value=0).reset_index()
print(t)

Answer 1

df1 = pd.pivot_table(df, values=['TotalAmount','Budget'] , index='Division',columns='MonthNumber',fill_value=0).T.unstack(0).T.reset_index()
df1.columns.name = None
df1 = df1.sort_values(['Division','level_1'], 0, [True,False])
df1.Division = df1.level_1.where(df1.level_1 == 'Budget', df1.Division)
df1 = df1.drop('level_1', 1)

结果：

          Division    1    2    3    4
1  Commercial Auto  500  600    0    0
0           Budget  550  570    0    0
3           Surety    0    0  780    0
2           Budget    0    0  700    0
5     Workers Comp    0    0    0  900
4           Budget    0    0    0  920