对于 pandas 数据框中的循环，如何按每小时范围内的天数进行过滤并关联一个值？

Question

我有一个名为 df_sub 的数据框，如下所示：

                   date open    high    low close   volume  
405 2022-01-03 08:00:00 4293.5  4295.5  4291.5  
406 2022-01-03 08:01:00 4294.0  4295.5  4294.0  
407 2022-01-03 08:02:00 4295.5  4297.5  4295.5  
408 2022-01-03 08:03:00 4297.0  4298.0  4296.0  
409 2022-01-03 08:04:00 4296.5  4296.5  4295.0  
... ... ... ... ... ... ... ... ...
5460    2022-01-07 08:55:00 4311.0  4312.0  4310.5  
5461    2022-01-07 08:56:00 4311.5  4311.5  4311.0  
5462    2022-01-07 08:57:00 4311.0  4312.0  4310.0

我需要创建这种类型的循环：

for row in df_sub:
take a single day (so, in this case 2022-01-03, 04...07) and create a column with df_sub["high"].max() value, 
so i will have the maximum value of the high in all the rows of the same day,
naturally, this implies that in other day the maximum value will be different from the 
previews one because the high will be different.

Answer 1

您可以使用 resample:

df_sub=df_sub.set_index('date')
df_new=df_sub.resample('d')['high'].max()

对于 pandas 数据框中的循环，如何按每小时范围内的天数进行过滤并关联一个值？

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