How to use Python Pandas isin in the context of an IF statement

Certainly! The isin() function in the pandas library is a powerful tool for filtering and conditional operations on DataFrame columns. In this tutorial, we'll explore how to use isin() in the context of an IF statement with Python pandas.
The isin() function in pandas is used to filter data frames. It returns a boolean series indicating whether each element in the Series or DataFrame is contained in the passed iterable (list, tuple, dictionary, etc.). This is particularly useful when you want to filter rows based on a set of values.
If you haven't installed pandas yet, you can install it using the following command:
Let's create a sample DataFrame to work with:
Let's say we want to create a new column called "is_target_city" which is True if the city is either 'New York' or 'Los Angeles', and False otherwise. We can use isin() in an IF statement to achieve this:
Now, if you want to filter the DataFrame based on the "is_target_city" column, you can use it in an IF statement like this:
Here's the complete example:
This example demonstrates how to use the isin() function in the context of an IF statement to create a new column and filter a DataFrame based on specific values. Feel free to adapt this example to your specific use case!
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