Pandas & Data Analysis·Pandas from first Series to analysis project

Dates and times

Parse, extract and resample time series data.

Beginner 13 min read Lesson 8 of 300 Challenge included

What you will be able to do

Convert with pd.to_datetime.
Use .dt for components.
Set a datetime index for resampling.
Store UTC and convert for display.

In plain English

Pandas datetime columns expose .dt accessors for year, month, weekday and more. Convert to a DatetimeIndex to resample by day, week or month. Always know the time zone your data is in.

dates.pyPython

import pandas as pd

df = pd.DataFrame({
    'created_at': pd.to_datetime(['2026-10-01', '2026-10-02', '2026-11-01']),
    'minutes': [10, 20, 15],
})

df = df.set_index('created_at')
print(df.resample('ME')['minutes'].sum())
print(df.index.month)

Your turn

Extract the month

Easy

Given a created_at datetime Series, add a month column.

PYTHON · starter

df['month'] =

Check your understanding before moving on.

Knowledge checkQuestion 1

Which accessor exposes date parts such as .dt.month?

Select an answer to continue

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