[英]Pandas - get median of the daily sum
I have a such line of code:我有这样一行代码:
df_append.groupby(['user_id', 'date'])['money'].sum()
It gives me such results:它给了我这样的结果:
user_id date
1 20210701 7169.21
20210702 7988.33
20210703 7326.52
20210704 6281.38
20210705 5561.10
...
1031536 20220626 5162.35
20220627 4522.90
20220628 5028.58
20220629 5694.28
20220630 6487.43
But now I want a median value for all those dates.但现在我想要所有这些日期的中值。 I am not really sure how to do it.
我不确定该怎么做。 I tried.median() after.sum() but it gives me one value instead of one median value for a specific user.
我在.sum() 之后尝试了.median(),但它给了我一个值,而不是一个特定用户的中值。
This was the result that I wanted to achieve - figured it out:这是我想要达到的结果 - 弄清楚了:
transactions_df['sum median daily'] = (df_append.groupby(['user_id', 'date'])['money'].sum().to_frame(name = 'sum').reset_index()).groupby('user_id')['sum'].median()
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