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pandas group by month

b = pd.read_csv('b.dat')
b.index = pd.to_datetime(b['date'],format='%m/%d/%y %I:%M%p')
b.groupby(by=[b.index.month, b.index.year])
# or
b.groupby(pd.Grouper(freq='M'))  # update for v0.21+
# or
df.groupby(pd.TimeGrouper(freq='M'))

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groupby year datetime pandas

data.groupby(data.date.dt.year)

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pandas group by day

df.groupby([(df.Date.dt.month),(df.Date.dt.day)])

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group by month and day pandas

max_temp = dfall.groupby([(dfall.Date.dt.month),(dfall.Date.dt.day)])['Data_Value'].max()

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pandas group by month

groupby year datetime pandas

pandas group by day

group by month and day pandas

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