如何从日期列中提取年、月、日？

Question

I'm trying to extract date information from a date column, and append the new columns to the original dataframe . However, I kept getting this message saying I cannot use .dt with this column. Not sure what I did wrong here, any help will be appreciated.

Error message that I got in python:

Answer 1

First do df.datecolumn = pd.to_datetime(df.datecolumn) , then live happily ever after.

Answer 2

This will give you year, month and day in that month. You can also easily get week of the year and day of the week.

import pandas as pd

df = pd.DataFrame(data=[['1920-01-01'], ['2008-12-06']], columns=['Date'])

df['Date'] = pd.to_datetime(df['Date'])

df['Year'] = df['Date'].apply(lambda x : x.year)
df['Month'] = df['Date'].apply(lambda x : x.month)
df['Day'] = df['Date'].apply(lambda x : x.day)

print(df)

In your Time list you have a typo Dayorweek should be dayofweek .