I can't read date without time from CSV using pandas

Question

I have this dataframe:

forecasts
Out[15]: 
             timestamp         1            2          
0  2022-11-08 12:12:15         5679.658691  5400.217773  
1  2022-11-08 12:38:49         5679.658691  5400.217773  
2  2022-11-09 11:05:53         5863.616699  5619.101562  
3  2022-11-10 10:46:27         6047.025391  5714.026367  
4  2022-11-11 11:59:29         6147.197754  5750.312988  
5  2022-11-12 11:56:45         6008.574707  5775.820312

And I’m trying to get the forecasts on a specific date without including the hour:

forecasts = forecasts[forecasts['timestamp'] == pd.Timestamp(str(2022) + '-' + str(11) + '-' + str(11))]

to read this date:

2022-11-11 11:59:29

But I receive an empty dataframe. How can I fix that?

Asked By: Leb_Broth

||

Source

Answer 1

you can use:

forecasts = forecasts[forecasts['timestamp'].dt.strftime('%Y-%m-%d') == '2022-11-11']
#or
forecasts = forecasts[forecasts['timestamp'].dt.strftime('%Y-%m-%d') == (str(2022) + '-' + str(11) + '-' + str(11))]

Answered By: Clegane

I can't read date without time from CSV using pandas

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