python pandas keep columns

pandas is a popular data manipulation library in python. it provides data structures like series and dataframe, and tools for reading, writing, and analyzing data. one common task when working with data is to filter and keep only the columns that are relevant to your analysis. in this tutorial, we'll explore various methods to keep columns in a pandas dataframe.
if you haven't installed pandas yet, you can do so using pip:
let's start by creating a simple dataframe to work with:
in this tutorial, we covered different methods to keep specific columns in a pandas dataframe. whether you prefer using double square brackets, loc, iloc, or the drop method, pandas provides flexibility to suit your coding style. choose the method that best fits your needs when working with data in python.
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