Splitting timestamp column into separate date and time columns

Question

I have a pandas dataframe with over 1000 timestamps (below) that I would like to loop through:

2016-02-22 14:59:44.561776

I\'m having a har

Answer 1

Had same problem and this worked for me.

Suppose the date column in your dataset is called "date"

import pandas as pd
df = pd.read_csv(file_path)

df['Dates'] = pd.to_datetime(df['date']).dt.date
df['Time'] = pd.to_datetime(df['date']).dt.time

This will give you two columns "Dates" and "Time" with splited dates.