FAQ: Variable Types - Matching Categorical Variables

Frequently Asked Questions Python FAQ
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This community-built FAQ covers the “Matching Categorical Variables” exercise from the lesson “Variable Types”.

Paths and Courses
This exercise can be found in the following Codecademy content:

Master Statistics with Python

FAQs on the exercise Matching Categorical Variables

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why release_year column is object?

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This lesson and the one before it mention that although there may be an ideal type for your column that doesn’t mean the data you import or the dataframe you’re provided will have the best type. In fact it’s quite common that they aren’t ideal so getting in the habit of checking the set-up of your dataframe is wise as you may need to alter some of the data types before doing anything else.

2 Likes
4

thanks you :slight_smile: for your answer !!

1 Like
5

checked all the boxes but it doesn’t change the dtype…
for column in change:
movies[column].astype(‘string’)
this should work right?

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The column name needs to be in quotes:

movies['title'] = movies['title'].astype("string")
print(movies.dtypes)

>> Movie  #realityhigh...   United States         2017  TV-14    99.248
type             object
title            object
country          object
release_year     object
rating           object
duration        float64
dtype: object
type             object
title            string
country          object
release_year     object
rating           object
duration        float64
dtype: object