In Pandas, we can use df[df["courses"]=='spark'] to filter rows by a specific condition in Pandas DataFarme and note that this expression returns a new DataFrame with selected rows in Pandas and we can also write the above statement with a variable.
To Filter by Column Value in pandas, we use the query() function. In Pandas, the DataFrame.query() function filters rows based on column value; after applying the expression, it will return a new DataFrame. If we wanted to update or modify the existing DataFrame, use the inplace=True param, and here, we are using conditions to get the result of the dataframe from row data. We have a dataframe consisting of some data with values inside it. Now we will filter the data depending on the column value in pandas. To select rows based on different conditions in Pandas, we can select the rows from Pandas DataFrame based on the column values or based on multiple conditions either using DataFrame.loc attribute, DataFrme.apply, or DataFrame.query() method to use the lambda function in Pandas.
Here is an example of how to filter row data based on column values in Pandas:
Fig : Preview of the output that you will get on running this code from your IDE.
In this solution we're using Pandas Library.
Follow the steps carefully to get the output easily.
- Install pandas on your IDE(Any of your favorite IDE).
- Copy the snippet using the 'copy' and paste it in your IDE.
- Add required dependencies and import them in Python file.
- Remove the arrows in the beginning of each line.
- Run the file to generate the output.
I hope you found this useful. I have added the link to dependent libraries, version information in the following sections.
I found this code snippet by searching for 'how to filter row data based off column values in pandas' in kandi. You can try any such use case!
I tested this solution in the following versions. Be mindful of changes when working with other versions.
- The solution is created in PyCharm 2021.3.
- The solution is tested on Python 3.9.7.
- Pandas version-v1.5.2.
Using this solution, we are able to filter row data based on column value in pandas with simple steps. This process also facilities an easy way to use, hassle-free method to create a hands-on working version of code which would help us to filter row data based on column value in pandas.
Python 38689 Version:v2.0.2 License: Permissive (BSD-3-Clause)