python pandas add column based on condition
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in this tutorial, we will explore how to add a new column to a pandas dataframe based on a specific condition. we will use python and the pandas library, a powerful data manipulation and analysis tool.
make sure you have python and pandas installed on your system. you can install pandas using:
open your python environment or script and start by importing the necessary libraries:
let's create a sample dataframe to work with. in this example, we'll use a dataframe representing student data:
now, let's say we want to add a new column called 'grade' based on the following condition:
we can achieve this by using the apply function along with a custom function that implements our condition:
now, when you run the script, you should see the original dataframe along with the newly added 'grade' column based on the specified condition.
congratulations! you have successfully added a new column to your pandas dataframe based on a condition. this method can be customized for various conditions and is a powerful way to enrich your data analysis workflow.
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