循环和分组依据以获取列值

Question

I have the following DataFrame:

STOP_SEQ    STOP_ID Bearing
6   82207   S
6   82207   S
7   82216   S
7   82216   S
7   82216   S
7   82216   S
7   82216   S
7   82216   S
7   82216   S
7   82216   S
7   82216   S
3   23770   N
3   23770   N
3   23770   N
3   23770   N
6   82207   S
6   82207   S
7   82216   S
7   82216   S
7   82216   S
7   82216   S
7   82216   S
7   82216   S
7   82216   S
6   82207   S
6   82207   S
6   82207   S
6   82207   S
6   82207   S
6   82207   S
6   82207   S
21  23600   W
25  82165   N
28  82185   N
31  82197   N
31  82197   N
31  82197   N
31  82197   N
31  82197   N
31  82197   N
31  82197   N
31  82197   N
32  82198   W
32  82198   W
32  82198   W
32  82198   W
32  82198   W
32  82198   W
32  82198   W

I wrote the following code for split these data based on column value into different sheets:

import pandas as pd
from pd import ExcelWriter
df = pd.read_excel (stations)
l = df.groupby("STOP_ID")
enter code here

How could I insert each group into a different excel sheet?

Answer 1

You can loop over the groupby (keys and values):

writer = pd.ExcelWriter('output.xlsx')
for name, sub_df in df.groupby("STOP_ID")):
    sub_df.to_excel(writer, str(name))
writer.save()