Calc_ID Rule_ID Name Tracked?
100 Rule1 Y
100 Rule2 N
100 Rule3 N
YYY Test1 Y
YYY Test2 Y
YYY Test3 N
预期结果
Calc_ID Rule_ID Name Tracked?
100 Rule1, Rule2, Rule3 Y, N, N
YYY Test1, Test2, Test3 Y, Y, N
当前代码
我试图一次为每一列应用一个分组,但这不起作用。
import pandas as pd
pd = read_csv(path)
pd = pd.fillna('') # <- to fix nans on groupby calc_id / rule_id
pd = pd.groupby(['Rule_ID', 'Calc_ID'])['Name'].apply(','.join).reset_index()
# pd = pd.groupby(['Rule_ID', 'Calc_ID'])['Tracked?'].apply(','.join).reset_index()
# ^ but this doesn't work because the initial groupby removes other columns