How can I use advanced filtering in Pandas?

How can I use advanced filtering in Pandas?

You can use boolean indexing and the query() method for advanced filtering in Pandas. What specific filtering do you need?

I want to filter a DataFrame to show rows where the value in column 'A' is greater than 10 and column 'B' is less than 5.

You can achieve that with the following code:

filtered_df = df[(df['A'] > 10) & (df['B'] < 5)]

This will give you the rows that meet both conditions.

Can I use the query() method for the same filtering?

Yes, you can use the query() method like this:

filtered_df = df.query('A > 10 and B < 5')

It's often more readable!

What if I want to filter based on multiple conditions in different columns?

You can combine multiple conditions using & for 'and' and | for 'or'. For example:

filtered_df = df.query('A > 10 and (B < 5 or C == "yes")')