Today we are going to look at utilizing Pandas built-in function .apply() to learn how to manipulate a dataset. Pandas Apply Function.
At some point in our data science career, we are going to come across poor quality data, whether it be partially completed records or incorrectly formatted attributes. Being able to manage poor quality data has become a crucial skill as a successful data scientist.
Thankfully, there are numerous libraries that have been developed such as Pandas that we can use to efficiently manipulate datasets. Today we are going to look at utilizing Pandas built-in function .apply() to learn how to manipulate a dataset.
The pandas apply function does at its name suggests, it allows you to apply a function across an axis of a DataFrame or to a Series. This function is incredibly powerful when needing to manipulate a column or row in the case of reformatting or cleaning data.
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