Date columns

Currently, the date columns in the marketing DataFrame are being incorrectly read as objects. We need to convert these columns to date columns to be able to use Python and pandas' robust date manipulation and formatting capabilities.

In this exercise, you will practice reading the CSV with proper date columns and create a day of the week column.

Cet exercice fait partie du cours

Analyzing Marketing Campaigns with pandas

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Instructions

Import pandas into the environment with the alias pd.
Read 'marketing.csv' into your environment correctly identifying date columns,'date_served' 'date_subscribed' and 'date_canceled' within your call to read_csv().
Create a day of week column from 'date_subscribed' using dt.dayofweek.

Exercice interactif pratique

Essayez cet exercice en complétant cet exemple de code.

# Import pandas into the environment
____

# Import marketing.csv with date columns
marketing = ____

# Add a DoW column
marketing['DoW'] = ____

Modifier et exécuter le code