![]() ![]() This function automatically detects the tables in a pdf and converts them into DataFrames. for i in range(len(df)):ĭf = tabula.read_pdf('file_path/file. First we load the libraries into our text editor : import tabula import pandas as pd Then, we will read the pdf with the readpdf () function of the tabula library. To save these tables separately, you will have to use a for loop that will save each table in an Excel file. df = tabula.read_pdf('file_path/file.pdf', pages = 'all') ![]() The first element corresponds to the first table, the second to the second table, etc. Here, the variable df will be in fact a list of DataFrame. Ideal to convert them then in Excel file ! 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 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
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |