How Can I Access Specific Excel Worksheets Without Reloading the Entire File Using Pandas?

Accessing Specific Worksheets in an Excel Workbook Without Reloading Entire File with Pandas

When dealing with large Excel files, it can be inefficient to load the entire workbook multiple times when only a few worksheets are required. Utilizing the pd.read_excel() function, it's possible to selectively load specific worksheets without reloading the whole file.

To achieve this, consider leveraging the pd.ExcelFile class. Here's how it's done:

import pandas as pd

# Create an instance of pd.ExcelFile
xls = pd.ExcelFile('path_to_file.xls')

# Read sheet1 and sheet2 from the Excel file
df1 = pd.read_excel(xls, 'Sheet1')
df2 = pd.read_excel(xls, 'Sheet2')

In this scenario, the entire Excel file is loaded only once during the ExcelFile() call. Subsequently, each pd.read_excel() call targets a specific sheet, avoiding unnecessary reloading.

It's important to note that the sheet_name argument in pd.read_excel() accepts a range of values: the sheet's name, its index (e.g., 0, 1...), a list of sheet names or indices, or None. If a list is provided, a dictionary with sheet names/indices as keys and corresponding data frames as values is returned. The default behavior is to fetch the first sheet (sheet_name=0).

By utilizing None as the sheet_name, all sheets in the workbook can be loaded as a {sheet_name: dataframe} dictionary. This approach is ideal when accessing multiple sheets is necessary, eliminating the need for repeated file loading.

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