![]() ![]() ![]() Import aspose.pdf as ap input_pdf = DIR_INPUT + "sample.pdf" output_pdf = DIR_OUTPUT + "convert_pdf_to_ods.ods" # Open PDF document document = ap. Save it to XLS or XLSX format having single worksheet by calling save() method and passing it ExcelSaveOptions.Create an instance of ExcelSaveOptions with MinimizeTheNumberOfWorksheets = true.Create an instance of Document object with the source PDF document.Steps: Convert PDF to XLS or XLSX Single Worksheet in Python To ensure that all pages are exported to one single sheet in the output Excel file, set the MinimizeTheNumberOfWorksheets property to true. This is because the MinimizeTheNumberOfWorksheets property is set to false by default. When exporting a PDF file with a lot of pages to XLS, each page is exported to a different sheet in the Excel file. save ( output_pdf, save_option ) Convert PDF to Single Excel Worksheet insert_blank_column_at_first = True # Save the file into MS Excel format document. Import aspose.pdf as ap input_pdf = DIR_INPUT + "sample.pdf" output_pdf = DIR_OUTPUT + "convert_pdf_to_xlsx_with_control_column.xls" # Open PDF document document = ap. During this conversion, the individual pages of the PDF file are converted to Excel worksheets. NET is a PDF manipulation component, we have introduced a feature that renders PDF file to Excel workbook (XLSX files). NET support the feature of converting PDF files to Excel, and CSV formats.Īspose.PDF for Python via. It covers the following topics.Īspose.PDF for Python via. This article explains how to convert PDF to Excel formats using Python. #Slicing the content by row index and adding to the table one by one #Record serial number = 1Row index for subsequent table splitįor i in range ( len (df ) ) : if df. DataFrame (table ,columns =table ) ,ignore_index =True ) print (df ) # Get all the text information of the current page, including the text in the table Save it to XLS or XLSX format having single worksheet by calling Document.Save () method and passing it ExcelSaveOptions. Create an instance of ExcelSaveOptions with MinimizeTheNumberOfWorksheets true. #Because there is a situation where a table is spread across pages, first store all tables in a DataFrame, and then split them according to the serial number.įor page in pdf. Steps: Convert PDF to XLS or XLSX Single Worksheet in Python Create an instance of Document object with the source PDF document. extract_text() is used to extract the text in the page and organize all the character objects on the page into that string.extract_words() returns all words and their related information.extract_tables() Extract the tables of the page.to_image() returns an instance of the PageImage class when used for visual debugging. page_number page number.width The width of the page.height The height of the page.objects/.chars/.lines/.rects Each of these attributes is a list, each list contains a dictionary, and each dictionary is used to describe the object information on the page, Including position information such as straight lines, characters, and squares. The main attributes contained in the pdfplumber.page class. metadata is a dictionary containing pdf information.pages is a list containing page information. First, briefly introduce the pdfplumber library: - pdfplumber.pdf contains two attributes. This article uses the pdfplumber library to read the forms in the PDF, and the operating environment: Python 3.5.2, Anaconda 4.2.0. You can find detailed information about each text character, matrix, and row, and you can also extract the table and perform visual debugging. But a single brain requires a Java environment -pdfplumber: is a library that can handle pdf format information. It is okay to parse one table, but it is not easy to extract multiple tables -tabula: For simple tables, that is, there is no line break in the cell, and the form of the header and footer is not complicated, so it is more convenient to use. I have read blogs written by others and found that Python has the following four ways to parse PDF: -pdfminer: good at text parsing, parsing tables into ordinary text without formatting -pdf2html: parse pdf into html, but the html tags are not regular. In the past few days, I want to count the journals in the "Chinese Humanities and Social Sciences Journal AMI Comprehensive Evaluation Report (2018): A Journal Evaluation Report", but I only found the PDF version of the report, which is not convenient for editing the table, so I thought Use Python to convert the table to Excel format. ![]()
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