Friday, May 26, 2023

How to convert PDF file to Excel file using Python?

How to convert PDF file to Excel file using Python?


To convert a PDF file to an Excel file using Python, you can use the tabula-py library. Here's a step-by-step code example: 



  1. Install the required library by running the following command in your terminal or             command prompt:

      pip install tabula-py


  2.Import the necessary modules in your Python script:
        
    import tabula

  3.Specify the path to your PDF file:

    pdf_path = "path/to/your/pdf/file.pdf"


  4.Use the read_pdf() function from tabula to extract the tabular data from the PDF and         convert it to a pandas DataFrame:

       df = tabula.read_pdf(pdf_path, pages='all')

        Note: The pages='all' argument indicates that you want to extract data from all             pages of the PDF. You can specify specific page numbers or a range if needed.

   5.If the PDF contains multiple tables, you can access them using indexing on the                        DataFrame df. For example, to access the first table:

         table1 = df[0]

    6. Export the extracted table(s) to an Excel file using the pandas to_excel()                                 function:

            excel_path = "path/to/output/excel/file.xlsx" table1.to_excel(excel_path,                            index=False)


        Make sure to replace "path/to/your/pdf/file.pdf" with the actual path to your PDF file             and "path/to/output/excel/file.xlsx" with the desired path for the output Excel file.



Here's the complete code snippet:

                                            import tabula

                    pdf_path = "path/to/your/pdf/file.pdf"
                    df = tabula.read_pdf(pdf_path, pages='all')
                    table1 = df[0]  # Access the first table
                    excel_path = "path/to/output/excel/file.xlsx"
                    table1.to_excel(excel_path, index=False)





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