Filtering for multiple items in polars

is_in

Sometimes, you may want to filter data for more than one item. Polars makes this type of filtering straightforward. Below is a dataframe showing streaming services and their corresponding prices.

shape: (7, 2)

Subscription	Price
str	f64
"Netflix"	15.49
"Hulu"	7.99
"HBO Max"	15.99
"Showtime"	10.99
"Paramount"	11.99
"Disney+"	7.99
"AMC"	8.99

Multiple item filtering

For example, if you want to view the prices of only a few specific streaming services like Netflix, Hulu, and AMC, you can use the is_in expression. This allows you to filter the data by specifying a list of the items you’re interested in. Here’s how to do it.

(df
 .filter(pl.col('Subscription').is_in(['Netflix','Hulu','AMC']))
 )

shape: (3, 2)

Subscription	Price
str	f64
"Netflix"	15.49
"Hulu"	7.99
"AMC"	8.99

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