How Can I Efficiently Select and Read Specific Worksheets from an Excel File using Pandas?

Efficient Worksheet Selection with Pandas

When working with large spreadsheets, it's crucial to optimize your code to avoid unnecessary data loading. This question addresses the issue of reading specific worksheets in an Excel file using pd.read_excel() without reloading the entire file multiple times.

To address this, the solution lies in using pd.ExcelFile. This class reads the Excel file once and provides an interface to access individual worksheets. Here's an example:

xls = pd.ExcelFile('path_to_file.xls')
df1 = pd.read_excel(xls, 'Sheet1')
df2 = pd.read_excel(xls, 'Sheet2')

It's important to note that the entire file is read during the ExcelFile() call. However, subsequent calls to pd.read_excel() with the same file object only require accessing the specified worksheet.

The sheet_name argument in pd.read_excel() accepts a string for the sheet name, an integer for the sheet number, or a list of names or indices. It defaults to 0, indicating the first worksheet.

To load all sheets, specify sheet_name=None. This returns a dictionary where keys are sheet names/indices, and values are corresponding data frames.

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