数据透视表如何评估我创建的功能？
它是否一次传递所有值，并且只返回.25和.75分位数之间的值？还是一次评估每个值并确定其是否适合.25和.75分位数？
def Mean_Outliers_Removed(values):
mid_quantiles = values.quantile([.25, .75])
return np.mean(mid_quantiles)
pivotall= pd.pivot_table(dftat,index=['Service','Month','1 Type','2 Type' ],
values=['1 TAT mins', '2 TAT mins'],aggfunc=[np.mean,Mean_Outliers_Removed,
np.std,len],margins=True)
谢谢。
edit
1 TAT mins 1 Type 2 Type 2 TAT mins Service Month
31479.6 OP NAP 31405.8 RAD Jun-18
18561 OP RAD 18576 RAD Jun-18
18507 OP RAD 18727.8 RAD Jun-18
18429 OP SP 18427.8 RAD Jun-18
18315 INP SP 18408 RAD Jun-18
17835.6 OP SP 17835 RAD Jun-18
17736 OP SP 17734.8 RAD Jun-18
17517 OP RAD 17611.8 RAD Jun-18
17115.6 INP US 17815.8 CARD Jun-18
13149.6 OP RAD 13279.8 RAD Jun-18
13146 OP SP 13144.8 RAD Jun-18
11500.8 OP RAD 11500.8 RAD Jun-18
11116.8 OP RAD 11293.8 RAD Jun-18
10966.8 OP SP 10966.8 RAD Jun-18
10419.6 OP NAL 10419 RAD Jun-18
10288.8 OP XT 10287.6 RAD Jun-18
10252.8 OP XT 10251.6 RAD Jun-18
10018.8 OP RAN 10018.8 RAD Jun-18
9849 OP RAN 9847.8 RAD Jun-18
9687 OP RAN 9727.8 RAD Jun-18
8538.6 INP SP 10282.8 CARD Jun-18
8199.6 OP SP 8199 RAD Jun-18