使用total_seconds或seconds除以60，最后转换为integers：
#if necessary converting to timedelta
#df['usage_duration'] = pd.to_timedelta(df['usage_duration'])
df['new'] = df['usage_duration'].dt.total_seconds().div(60).astype(int)
要么：
df['new'] = (df['usage_duration'].dt.seconds.div(60).astype(int)
+ df['usage_duration'].dt.days.multiply(1440).astype(int) )
print (df)
processid userid usage_duration new
0 17613 root 0 days 23:41:03 1421
1 17641 root 2 days 04:05:26 3125
2 13848 acs 0 days 00:00:50 0
3 3912 acs 0 days 06:07:38 367
4 6156 acs 0 days 17:22:43 1042
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