[986] Filter rows by containing a particular word in Pandas

In Pandas, you can filter rows based on whether a specific column contains a particular word or substring. Here are a few ways to achieve this:

1. Using str.contains():

   • To filter rows where a specific column (let’s say ‘ids’) contains the word “ball,” you can use the following code: Python

     filtered_df = df[df['ids'].str.contains("ball")]

   • This will return rows where the ‘ids’ column contains the substring “ball” ¹.

2. Inverting the Filter:

   • If you want to find rows that do not contain the string “ball,” you can use the negation operator (~): Python

     inverted_df = df[~df['ids'].str.contains("ball")]

   • The ~ negates the condition, resulting in rows where the ‘ids’ column does not contain “ball” ¹.

3. Partial Match and Remaining String:

   • If you want to work with partial matches and extract the remaining string after a partial match (e.g., grabbing the remaining part after ‘#’), you can use more complex string manipulation methods ¹.