python pandas add column with if statement
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title: adding a column to a pandas dataframe with an if statement in python
introduction:
pandas is a powerful data manipulation library in python, widely used for data analysis and manipulation. one common task is adding a new column to a dataframe based on certain conditions. in this tutorial, we'll explore how to use an if statement to add a column to a pandas dataframe using python.
prerequisites:
make sure you have python and pandas installed on your system. you can install pandas using the following command:
code example:
let's consider a scenario where we have a dataframe containing information about students and their exam scores. we want to add a new column called 'result' based on a condition - if the student's score is greater than or equal to 60, mark them as 'pass'; otherwise, mark them as 'fail'.
explanation:
note: the code above will raise a valueerror because the condition df['score'] = 60 produces a boolean series, and pandas requires a boolean scalar for the if statement. to overcome this, we need to use the numpy library for element-wise comparison, as shown in the corrected code below:
this corrected code uses np.where() to apply the condition element-wise and assign 'pass' or 'fail' accordingly.
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