How to convert a "yyyy-MM-dd'T'HH:mm:ssZ'" format in a dataframe to a datetime format

Question

How can I convert a "yyyy-MM-dd’T’HH:mm:ssZ’" format in a dataframe to a datetime format that I can further format to an index

2021-01-02T05:22:58.000Z is one of the dates in the dataframe

i’ve tried this line of code:

df['created_at_tweet']= pd.to_datetime(df['created_at_tweet'], format=("yyyy-MM-dd'T'HH :mm:ss.SSS'Z'"))

but i get the error

ValueError: time data '2021-01-02T01:43:32.000Z' does not match format 'yyyy-MM-dd'T'HH :mm:ss.SSS'Z'' (match)

any ideas?

Asked By: Lilsss

||

Source

Answer 1

This works

df = pd.DataFrame({'created_at_tweet' : ['2021-01-02T01:43:32.000Z'], 'tweet' : ['Hello Twitter!']})

df['created_at_tweet']= pd.to_datetime(
  df['created_at_tweet'], 
  format=('%Y-%m-%dT%H:%M:%S.%f'))

yields

df

Answered By: 7shoe

How to convert a "yyyy-MM-dd'T'HH:mm:ssZ'" format in a dataframe to a datetime format

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