python pandas fill column based on condition
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title: how to fill a pandas dataframe column based on a condition in python
introduction:
pandas is a powerful data manipulation library in python, and it provides a variety of tools for working with structured data. in this tutorial, we will explore how to fill a column in a pandas dataframe based on a specified condition using python code examples.
start by importing the pandas library into your python script or jupyter notebook.
for demonstration purposes, let's create a simple dataframe with columns 'name', 'age', and 'score'.
next, define the condition based on which you want to fill values in a specific column. for example, let's say we want to fill the 'score' column with 'pass' if the score is greater than or equal to 80, and 'fail' otherwise.
now, use the loc accessor to fill the 'score' column based on the defined condition.
print the modified dataframe to see the changes.
this example demonstrates how to fill a pandas dataframe column based on a specified condition using the loc accessor. feel free to adapt the code to fit your specific use case.
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