I would like to keep other columns that the df has

df=df.groupby(pd.PeriodIndex(df['date'], freq='M'))['Close/Last'].mean().reset_index()

How can I keep other columns in df?

CodePudding user response：

I think .agg() will fit here perfectly:

Just remember to import numpy as np

instead of:

df=df.groupby(pd.PeriodIndex(df['date'], freq='M'))['Close/Last'].mean().reset_index()

try this:

df=df.groupby(pd.PeriodIndex(df['date'], freq='M')).agg({'Close/Last': (np.mean),'Volume':'first','Name':'first'})

.agg() allows you to choose what to do with the columns (apply functions), but if you just want to keep them, use .agg({'col1': 'first', 'col2': 'first', ...} etc.