Ideal to convert them then in Excel file ! This function automatically detects the tables in a pdf and converts them into DataFrames. Then, we will read the pdf with the read_pdf() function of the tabula library. We load the libraries in our text editor : import tabula
One can provide the name of the columns to store the data by input the value of the argument “columns”.Receive the method import tabula import pandas as pdĭf = tabula.read_pdf('file_path/file.pdf', pages = 'all')ĭf.to_excel('file_path/file.xlsx') Photo by Darius Cotoi on Unsplash PDF containing several tables. By default the sheet number is 1, one can change it by input the value of argument “sheet_name”. One can provide the excel file name or the Excelwrite object. A sequence should be given if the DataFrame uses MultiIndex. If not specified, and `header` and `index` are True, then the index names are used. Name of sheet which will contain DataFrameĬolumn label for index column(s) if desired. Reading and Writing to text files in Pythonĭata.to_excel( excel_writer, sheet_name='Sheet1', \*\*kwargs ). How to get column names in Pandas dataframe. 
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