将 pivot 形式的 15 分钟间隔使用数据转换为 60 分钟格式

Question

I want to convert this to hourly format like:

df['1:00'] = df['0:15'] + df['0:30'] + df['0:45'] + df['1:00']

Also, i do not want to create extra duplicate columns.

Please help. Thanks in advance.

Answer 1

Use:

#convert non time values to MultiIndex and sorting times columns
df1 = df.set_index(['Account','Date']).sort_index(axis=1)
#create groups by previous values of ends with :00
g = df1.columns.str.endswith(':00')[::-1].cumsum()[::-1]
#aggregate sum
df2 = df1.groupby(g, axis=1).sum().add_suffix(':00').reset_index()