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Reading Excel files in Python can be efficiently done using the pandas library. This library provides a powerful and flexible way to read, manipulate, and analyze data stored in Excel files. The pandas.read_excel() function is commonly used for this purpose.
Using pandas.read_excel()
The pandas.read_excel() function reads an Excel file into a pandas DataFrame. It supports various file formats such as .xls, .xlsx, .xlsm, .xlsb, .odf, .ods, and .odt. You can specify the sheet name, header, column names, data types, and other parameters to customize the reading process.
Basic Usage
Here is a basic example of reading an Excel file using pandas.read_excel():
import pandas as pd# Read the first sheet of the Excel filedf = pd.read_excel('path/to/your/excel_file.xlsx')# Display the DataFrameprint(df.head())Copied!✕CopySpecifying Sheet Name
You can specify the sheet name or index to read a specific sheet:
pandas.read_excel — pandas 3.0.2 documentation
Read an Excel file into a DataFrame. Supports xls, xlsx, xlsm, xlsb, odf, ods and odt file extensions read from a local filesystem or URL. Supports an option to read a single sheet or a list of sheets. Any valid …
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