How do I convert a column to Pandas Timestamps?

Question

I have a column in my DataFrame with values like '2022-06-03T00:00:00.000Z' and I want to convert these (in place) to pd.Timestamp. I see many answers he on how to convert to np.datetime64 and on how do convert arbitrary columns of DataFrames, but can’t figure out how to apply these to covering to pd.Timestamp.

Asked By: orome

||

Source

Answer 1

Use from pd.to_datetime method
I think this solve your problem
Just you need to active utc argument in your method


import pandas as pd
 
lst = {'a':['Geeks', 'For'],'b':['2022-06-03T00:00:00.000Z','2024-03-03T00:00:00.000Z']}
 
df = pd.DataFrame(lst)

df['b']=pd.to_datetime(df['b'],utc=True)

type(df['b'][0])

pandas._libs.tslibs.timestamps.Timestamp

Answered By: Alireza

How do I convert a column to Pandas Timestamps?

Question:

Answers: