python load xlsx into dataframe

in this tutorial, we will explore how to read data from an excel file (.xlsx) and load it into a pandas dataframe using the pandas library in python. pandas is a powerful data manipulation library that provides data structures like dataframes, making it easy to work with structured data.
if you haven't installed the pandas library, you can install it using the following command:
in your python script or jupyter notebook, start by importing the necessary libraries:
if your excel file contains multiple sheets and you want to load a specific sheet, you can do so by specifying the sheet name or index:
if you only want to load specific columns, you can provide a list of column names:
in this tutorial, we covered the basics of loading excel (.xlsx) data into a pandas dataframe using the read_excel function. you can now use the powerful capabilities of pandas to analyze and manipulate the data in python. this method is versatile and can handle various scenarios, such as loading specific sheets or columns based on your requirements.
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