我有以下格式的 pandas 数据框，
input_df :
gw_mac mac val status
0 AC233FC01403 AC233F264A4C -21 Outwards
1 AC233FC015F6 AC233F264A4C -37 Outwards
2 AC233FC01403 AC233F264A4C -20 Outwards
3 AC233FC015F6 AC233F264A4C -37 Outwards
4 AC233FC01403 AC233F264A4C -29 Outwards
5 AC233FC015F6 AC233F264A4C -39 Outwards
6 AC233FC01403 AC233F264A4C -37 Outwards
7 AC233FC015F6 AC233F264A4C -37 Outwards
8 AC233FC01403 AC233F264A4C -22 Outwards
9 AC233FC015F6 AC233F264A4C -37 Outwards
10 AC233FC015F6 AC233F264A4C -37 Outwards
我需要像下面一样进行转换，
output_df:
AC233FC01403 AC233FC015F6 mac status
1 -21 -37 AC233F264A4C Outwards
2 -20 -37 AC233F264A4C Outwards
3 -29 -39 AC233F264A4C Outwards
4 -37 -37 AC233F264A4C Outwards
5 -22 -37 AC233F264A4C Outwards
6 0 -37 AC233F264A4C Outwards
最佳答案
使用cumcount对于带有 set_index 的新 counter 列, unstack和 reset_index :
g = df.groupby(['gw_mac','mac','status']).cumcount()
df = (df.set_index([g, 'mac','status','gw_mac'])['val']
.unstack(fill_value=0)
.reset_index(level=[1,2])
.rename_axis(None, axis=1))
print (df)
mac status AC233FC01403 AC233FC015F6
0 AC233F264A4C Outwards -21 -37
1 AC233F264A4C Outwards -20 -37
2 AC233F264A4C Outwards -29 -39
3 AC233F264A4C Outwards -37 -37
4 AC233F264A4C Outwards -22 -37
5 AC233F264A4C Outwards 0 -37
如果列的顺序很重要:
df = df[df.columns[2:].tolist() + df.columns[:2].tolist()]
print (df)
AC233FC01403 AC233FC015F6 mac status
0 -21 -37 AC233F264A4C Outwards
1 -20 -37 AC233F264A4C Outwards
2 -29 -39 AC233F264A4C Outwards
3 -37 -37 AC233F264A4C Outwards
4 -22 -37 AC233F264A4C Outwards
5 0 -37 AC233F264A4C Outwards
关于python - Pandas 数据框将唯一值转换为列名，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/54863165/