as an extension to the question Pandas: Group Data by column A, Filter A by existing values of column B my data has now a datetime for each value, which looks like this:
2011-10-01 20:24:21
EDIT : at first the time data had the right structure, but was from dtype: object. I changed it by using:
dataset['Date']= pd.to_datetime(dataset['Date'])
Is this correct?
So at the moment, I have a dataset which structure looks like this:
_Group, Value, Date:_
A 2 **2011-10-01 20:24:21**
A 1 **2011-10-01 20:27:21**
A 3 **2011-10-01 20:25:21**
B 1 **2011-10-01 20:23:21**
B 2 **2011-10-01 20:26:21**
B 3 **2011-10-01 20:24:21**
B 3 **2011-10-01 20:25:21**
I want to order the values of each group depending on the datetime.
--> I already checked, that the datatime has the dtype: datetime, but when I try to order it (ascending), not all the datetimes are in the right order within a group. When I tried to order just the dates, then it works fine.
I tried the following code:
dataset.sort_values('Date').sort_index(level='Group')
As a result, the dates are in the right order, but sometimes they aren't regarding the hours and seconds. Where is my mistake?
I'm thankful for any help!
您可以使用多个级别进行排序:
dataset.sort_values(['Group', 'Date'])
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