python pandas apply custom function

pandas is a powerful data manipulation library in python that provides various functions to work with structured data. one of the key features of pandas is the ability to apply custom functions to data using the apply method. this tutorial will guide you through the process of applying custom functions to pandas dataframes or series.
before proceeding with this tutorial, make sure you have python and pandas installed. you can install pandas using the following command:
the apply function in pandas is used to apply a given function along the axis of a dataframe or series. it takes a function as an argument and applies it to each element in the dataframe or series.
for dataframe:
for series:
let's walk through an example where we have a dataframe with a column of numbers, and we want to apply a custom function to double each value in that column.
output:
in this example, we created a custom function double_value that doubles a given number. we then used the apply method to apply this function to the 'numbers' column of the dataframe, creating a new column 'doubled' with the doubled values.
the apply function in pandas is a versatile tool for applying custom functions to your data. whether you need to perform simple calculations or complex transformations, apply provides a flexible way to work with your dataframe or series.
experiment with different custom functions and explore the capabilities of apply to enhance your data manipulation tasks in pandas.
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