I have a PDF file that was created from a Jupyter notebook, but the original .ipynb file is lost.
Is there some tool that would help to convert PDF to .ipynb?
that may not be possible since .ipynb file contains pieces of code that requires for it to execute in jupyter notebook ..so the best option is to try to copy the contents from the pdf on to new .ipynb file and execute it.
PDF to Python is straightforward, but it takes several steps. Essentially you must extract the code to text format and then parse and clean it up to get it back into an executable format.
Save the PDF as text file. Adobe Acrobat does this well, but there are several Python PDF libraries to extract text from any PDF.
parse the text to identify and capture the Python code (as text strings)
Convert the Python text strings to Python tokens.
Clean or lint the Python code to format it so that it will run without errors due to indentation. You can use the Python "black" module or PEP8 linter to clean up indentation.
There are numerous examples of parsing Python in HTML format to Jupyter Notebook format. Spyder and VSCode linters work well to fix indentation.
Not possible to convert pdf into ipynd. But you can use google lens it will help you in copy pasting.
Related
When converting my Notebook into a PDF, I am finding they are shifting in a funny way, and I have no clue how to fix this. Attached are two images, one of the notebook and the other of a PDF saved via pyppeteer, I am running the notebook locally if that makes any difference.
Also attempting all other methods of saving the notebook as a PDF have the same consequence and also remove the images, seemingly haven lost access to the file directory where I am sourcing them from.
PDF
More of the PDF
Original is all in line correctly like this
this is my first time asking a question on this forum, so, any tip or suggestion is highly appreciated!
As for the question itself, I have already seen many discussions on how to export a Colab notebook as a pdf, however I would like to ask more specifically if there is any way of doing it that can preserve the output of executed code (e.g.: I would like tables made from dataframe in pandas to be exported as they were printed on the notebook and not like a bunch of strings).
I think the easier method is you can use browser print functionality.
for most browser it's shortcut should be ctrl + p
and the the harder method is that you can download ipynb file to your machine and then use jupyter notebook to do this
for this to work you should install notebook-as-pdf pip package and then you need to use this command in your command-line or terminal
pyppeteer-install
after that you are all set, so now you can open your ipynb with jupyter notebook and you should find "PDF via HTML(pdf)" option in "download as" section of file menu
in other word it should be here:
file > download as > PDF via HTML(pdf)
if you want more details on this use this and this.
Python3: How do I import an excel spreadsheet into python project? (I'm using repl.it website for learning python3). I want to automate the entering of data into several connected spreadsheets. I'm trying to automate my work so that I don't have to do it manually anymore.
You can process Excel files directly if you use a local install of Python and a library like OpenPyXL or others.
However, as a workaround, in Excel save the file as a .csv (comma separated values). Open that .csv in a text editor. Copy the contents. In repl.it, click the new file button and create a new file called something like input.csv and paste in the contents.
Repl.it does have the csv library since that's a native library. Details are at https://docs.python.org/3.6/library/csv.html. That should let you read in the data fairly easily.
Since you are dealing with several connected spreadsheets, you may have to do this step with each one and create a new .csv file as your result which you can then open in Excel and save as an Excel file. However, you really are pushing the bounds of what can be done in an online repl.
If you are dealing with large files or want to skip the "save as csv" step, you'll need a local installation of Python.
I need to convert .doc and .docx files to .pdf using python . I have seen some answers already available but that are using comtypes and opening WordApplication. I can not do that.
What I seek is a way of doing it using some python libraries that preserves font , tables , heading size and images etc , without opening MS Word or LibreOffice or anything like that
Converting .doc and .docx files to some intermediate format(and later converting that format to pdf) would be fine too , if needed . Please help me with the code or guided instructions(I am not a pro in python) I should follow.
I have been in the similar problem earlier,
My suggestion:
sorry there is no such direct python library to handle Microsoft office formats specially (.doc)
So try to use LibreOffice as a service in Ubuntu its "libreoffice"
if windows its "soffice.exe" use this in command line to convert the document to .PDF without opening LibreOffice
and its easy and fast too and more over gives almost perfect conversion of the file.
A sample:
For Windows:
C:\Program Files (x86)\LibreOffice 4\program\soffice.exe" --headless --convert-to pdf "input_file_path" --outdir "output_dir_path"
This will convert the input file into pdf in the given output directory without opening the LibreOffice ans just using it as a service.
To run this command from python you can use "subprocess" like libraries.
I have a report text file, which is created by my python script. I want to create pdf file from mentioned text file in python script. After searching, I came across reportlab library, but in tutorials of same library it shows creating pdf having manually written contents.However I want to convert my text file to pdf file.
Is there any other option, any script?
thank you in advance.