Pandas Convert Timestamp Column to Datetime

Question

Given the following data frame and necessary wrangling:

import pandas as pd
df=pd.DataFrame({\'A\':[\'a\',\'b\',\'c\'],
        \'dates\':[\'2015-08-31 00:00         


        

Answer 1

I have a similar issue where I need to convert timestamp to datetime in numpy though, but I believe it can be apply in Pandas as well. I think using function under Pandas.Timestamp would be better to convert timestamp as below.

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np1=pd.DataFrame.to_numpy(df2)
print(np1)
[[Timestamp('2019-01-31 00:00:00') 'UCHITEC'  2000 2.56 5129.54]
 [Timestamp('2019-01-16 00:00:00') 'UCHITEC'  1000 2.61 2618.79]]

np2= np.asarray(np1)
Timestamp('2019-01-16 00:00:00')

np3 = pd.Timestamp.to_datetime64(np2[0][0])
np4 = pd.Timestamp.to_pydatetime(np2[1][0])

print(np3)
print(np4)

2019-01-31T00:00:00.000000000
2019-01-16 00:00:00