FAQ: Modifying DataFrames - Applying a Lambda to a Row


This community-built FAQ covers the “Applying a Lambda to a Row” exercise from the lesson “Modifying DataFrames”.

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This exercise can be found in the following Codecademy content:

Data Science

Data Analysis with Pandas

FAQs on the exercise Applying a Lambda to a Row

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When do I use row[‘hourly_wage’] to access a cell’s data vs row.hourly_wage?

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I have the same question. I am also curious as to why we need to include “axis = 1” when that was not necessary in the previous exercise when we created a new column with:

df[‘last name’] = df.name.apply(lamba x:x.split (’’)[-1])


I believe the axis is default to 0 columns hence it does not require an axis be specified

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