apply method in python pandas
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The apply method in Pandas is a powerful function that allows you to apply a custom function along the axis of a DataFrame or Series. This method is particularly useful when you need to perform element-wise operations or transformations on your data.
Let's start with a simple example using a Series:
In this example, the square function is applied element-wise to each element in column 'A'. The resulting Series will contain the squared values.
Now let's apply a function to each row or column of a DataFrame:
In this example, the row_sum function is applied either along rows or columns, resulting in Series containing the sums.
These examples illustrate the basic usage of the apply method in Pandas. Keep in mind that you can use more complex functions and lambda functions as well, making it a versatile tool for data manipulation in Pandas.
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