pypdf

What is an efficient way to generate PDF for data frames in Pandas? Well one way is to use markdown. You can use df.to_html() . This converts the dataframe into a html table. From there you can put the generated html into a markdown file (.md) (see http://daringfireball.net/projects/markdown/basics ). From there, there are utilities to convert markdown into a pdf ( https://www.npmjs.com/package/markdown-pdf ). One all-in-one tool for this method is to use Atom text editor ( https://atom.io/ ). There you can use an extension, search "markdown to pdf", which will make the conversion for you.

At the moment I'm looking into doing some PDF merging with pyPdf, but sometimes the inputs are not in the right order, so I'm looking into scraping each page for its page number to determine the order it should go in (e.g. if someone split up a book into 20 10-page PDFs and I want to put them back together). I have two questions - 1.) I know that sometimes the page number is stored in the document data somewhere, as I've seen PDFs that render on Adobe as something like [1243] (10 of 150), but I've read documents of this sort into pyPDF and I can't find any information indicating the page

I am trying to parse the pdf file text using pdfMiner, but the extracted text gets merged. I am using the pdf file from the following link. PDF File I am good with any type of output (file/string). Here is the code which returns the extracted text as string for me but for some reason, columns are merged. from pdfminer.converter import TextConverter from pdfminer.layout import LAParams from pdfminer.pdfinterp import PDFResourceManager, process_pdf import StringIO def convert_pdf(filename): rsrcmgr = PDFResourceManager() retstr = StringIO() codec = 'utf-8' laparams = LAParams() device =

Currently I am using the PyPDF 2 as a dependency. I have encountered some encrypted files and handled them as you normally would (in the following code): PDF = PdfFileReader(file(pdf_filepath, 'rb')) if PDF.isEncrypted: PDF.decrypt("") print PDF.getNumPages() My filepath looks something like "~/blah/FDJKL492019 21490 ,LFS.pdf" PDF.decrypt("") returns 1, which means it was successful. But when it hits print PDF.getNumPages(), it still raises the error, "PyPDF2.utils.PdfReadError: File has not been decrypted". How do I get rid of this error? I can open the PDF file just fine by double click

I'm trying to extract each page of a PDF as a string: import pyPdf pages = [] pdf = pyPdf.PdfFileReader(file('g-reg-101.pdf', 'rb')) for i in range(0, pdf.getNumPages()): this_page = pdf.getPage(i).extractText() + "\n" this_page = " ".join(this_page.replace(u"\xa0", " ").strip().split()) pages.append(this_page.encode("ascii", "xmlcharrefreplace")) for page in pages: print '*' * 80 print page But this script ignore newline characters, leaving me with messy strings like information concerning an individual which, because of name, identifyingnumber, mark or description (i.e, this should read