nbconvert | Jupyter Notebook Conversion | Data Manipulation library

 by   jupyter Python Version: v7.4.0 License: BSD-3-Clause

kandi X-RAY | nbconvert Summary

kandi X-RAY | nbconvert Summary

nbconvert is a Python library typically used in Utilities, Data Manipulation, Numpy, Jupyter, Pandas applications. nbconvert has no bugs, it has no vulnerabilities, it has a Permissive License and it has high support. However nbconvert build file is not available. You can install using 'pip install nbconvert' or download it from GitHub, PyPI.

Jupyter Notebook Conversion

            kandi-support Support

              nbconvert has a highly active ecosystem.
              It has 1496 star(s) with 521 fork(s). There are 49 watchers for this library.
              There were 7 major release(s) in the last 12 months.
              There are 474 open issues and 616 have been closed. On average issues are closed in 155 days. There are 23 open pull requests and 0 closed requests.
              It has a negative sentiment in the developer community.
              The latest version of nbconvert is v7.4.0

            kandi-Quality Quality

              nbconvert has 0 bugs and 0 code smells.

            kandi-Security Security

              nbconvert has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              nbconvert code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              nbconvert is licensed under the BSD-3-Clause License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              nbconvert releases are available to install and integrate.
              Deployable package is available in PyPI.
              nbconvert has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions, examples and code snippets are available.
              nbconvert saves you 3340 person hours of effort in developing the same functionality from scratch.
              It has 45648 lines of code, 594 functions and 132 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed nbconvert and discovered the below as its top functions. This is intended to give you an instant insight into nbconvert implemented functionality, and help decide if they suit your requirements.
            • Convert ANSI escape codes to plain text .
            • Write resources to a notebook .
            • Initialize resources .
            • Run a command .
            • Run pypeteer .
            • returns a list of template names
            • Create a valid version number .
            • Register a preprocessor .
            • Highlight source using pygments .
            • Exports a notebook node .
            Get all kandi verified functions for this library.

            nbconvert Key Features

            No Key Features are available at this moment for nbconvert.

            nbconvert Examples and Code Snippets

            black + nbconvert,Version control integration
            Pythondot img1Lines of Code : 5dot img1License : Permissive (MIT)
            copy iconCopy
            - repo: https://github.com/dfm/black_nbconvert
              rev: v0.3.0
              - id: black_nbconvert
            black + nbconvert,Installation & Usage
            Pythondot img2Lines of Code : 4dot img2License : Permissive (MIT)
            copy iconCopy
            pip install black_nbconvert
            black_nbconvert --check /path/to/a/notebook.ipynb
            black_nbconvert /path/to/a/notebook.ipynb
            black_nbconvert .
            No such file or directory: '/opt/anaconda3/lib/python3.8/site-packages/rtree/lib'
            Pythondot img3Lines of Code : 4dot img3License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            python is /opt/anaconda3/bin/python
            python is /usr/local/bin/python
            python is /usr/bin/python
            detach().cpu() kills kernel
            Pythondot img4Lines of Code : 8dot img4License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            def Exec_ShowImgGrid(ObjTensor, ch=1, size=(28,28), num=16):
                #tensor: 128(pictures at the time ) * 784 (28*28)
                Objdata= ObjTensor.detach().cpu().view(-1,ch,*size) #128 *1 *28*28 
                Objgrid= make_grid(Objdata[:num],nrow=4).permute
            How to automate the running of Jupyter notebooks one after another?
            Pythondot img5Lines of Code : 3dot img5License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            jupyter nbconvert --execute --to sample_notebook1.ipynb --inplace sample_notebook1.ipynb
            jupyter nbconvert --execute --to sample_notebook2.ipynb --inplace sample_notebook2.ipynb
            Could google cloud platform vertextAI running code on backend without output?
            Pythondot img6Lines of Code : 8dot img6License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            nohup jupyter nbconvert --to notebook --execute test.ipynb &
            import time
            for x in range(1,1080):
            jupyter run produces invalid JSON with single quotes
            Pythondot img7Lines of Code : 5dot img7License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            jupyter nbconvert --to pdf --execute U-Run.ipynb 
            papermill U-Run.ipynb U-Run-2.ipynb 
            jupyter nbconvert --to pdf U-Run-2.ipynb 
            ipykernel (Jupyter notebook/labs) cannot import name ''filefind" from traitlets.utils
            Pythondot img8Lines of Code : 4dot img8License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            pip3 install traitlets==5.1.1
            pip3 install pygments==2.4.1
            How to remove date from pdf produced from ipynb with nbconvert
            Pythondot img9Lines of Code : 2dot img9License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            Do I need to downgrade my conda version in order to install a module?
            Pythondot img10Lines of Code : 2dot img10License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            conda create --name foo -c conda-forge axelrod

            Community Discussions


            F2 rename variable doesn't work in vscode + jupyter notebook + python
            Asked 2022-Mar-23 at 04:56

            I can use the normal F2 rename variable functionality in regular python files in vscode. But not when editing python in a jupyter notebook.

            When I press F2 on a variable in a jupyter notebook in vscode I get the familiar change variable window but when I press enter the variable is not changed and I get this error message:

            No result. No result.

            Is there a way to get the F2 change variable functionality to work in jupyter notebooks?

            Here's my system info:

            jupyter module version



            Answered 2022-Jan-17 at 02:49

            Notice that you put up a bug report in GitHub and see this issue: Renaming variables didn't work, the programmer replied:

            Some language features are currently not supported in notebooks, but we are making plans now to hopefully bring more of those online soon.

            So please wait for this feature.

            Source https://stackoverflow.com/questions/70729502


            How to remove date from pdf produced from ipynb with nbconvert
            Asked 2022-Feb-03 at 08:58

            I am using nbconvert programmatically to export a jupyter notebook file to pdf:



            Answered 2022-Feb-03 at 08:58

            By default the date is set to `\date{\today}, you can overwrite it by setting it to something else, e.g. with an empty argument:

            Source https://stackoverflow.com/questions/70949216


            Do I need to downgrade my conda version in order to install a module?
            Asked 2022-Jan-18 at 22:43

            I install new modules via the following command in my miniconda



            Answered 2022-Jan-06 at 20:11

            Consider creating a separate environment, e.g.,

            Source https://stackoverflow.com/questions/70610324


            Can I pretty print the output of linearmodels.panel.results.compare() when I convert a Jupyter Notebook to PDF?
            Asked 2022-Jan-05 at 16:17

            I use Python to analyze data in Jupyter Notebooks, which I convert to PDFs to share with coauthors (jupyter nbconvert --to pdf). I often use linearmodels.panel.results.compare() to compare panel regression estimates from the linearmodels package. However, the PDF conversion process converts the compare() output to a fixed-width font that is much too wide for the PDF (I will provide the code below):

            Can I pretty print the output of compare() when I convert a Jupyter Notebook to PDF?

            A possible solution is to convert the compare() output to a data frame. The option pd.options.display.latex.repr = True pretty prints data frames when I convert to PDF. For example:

            In the notebook, the compare() output formats nicely and looks like a data frame. However, it is not a data frame, and I have failed to convert it to a data frame.

            Is there an alternative solution to compare the pretty print the results of linearmodels package output?

            Here is the code that generates the tables above (copy and paste into a Jupyter Notebook code cell):



            Answered 2022-Jan-05 at 16:12

            compare returns a PanelModelComparison. This class has a property summary which returns a linearmodels.compat.statsmodels.Summary which is virtually identical to the Summary objects available in statsmodels. Summary instances have a method as_latex() which converts the table to LaTeX.

            Source https://stackoverflow.com/questions/70586193


            Can't deploy streamlit app on share.streamlit.io
            Asked 2021-Dec-25 at 14:42

            I am working with a simple ML model with streamlit. It runs fine on my local machine inside conda environment, but it shows Error installing requirements when I try to deploy it on share.streamlit.io.
            The error message is the following:



            Answered 2021-Dec-25 at 14:42

            Streamlit share runs the app in a linux environment meaning there is no pywin32 because this is for windows.

            Delete the pywin32 from the requirements file and also the pywinpty==1.1.6 for the same reason.

            After deleting these requirements re-deploy your app and it will work.

            Source https://stackoverflow.com/questions/70480314


            UnsatisfiableError on importing environment pywin32==300 (Requested package -> Available versions)
            Asked 2021-Dec-03 at 14:58

            Good day

            I am getting an error while importing my environment:



            Answered 2021-Dec-03 at 09:22

            Build tags in you environment.yml are quite strict requirements to satisfy and most often not needed. In your case, changing the yml file to

            Source https://stackoverflow.com/questions/70209921


            kpathsea: Running mktexfmt xelatex.fmt can't find the format file `xelatex.fmt'
            Asked 2021-Nov-19 at 14:22

            I am getting errors while exporting the notebook as a pdf, Am using RHEL-7.9 and running jupyter lab with python 3.6, and following the documentation to install dependencies.

            I tried almost everything but did not find the solution.


            nbconvert failed: PDF creating failed, captured latex output: Failed to run "['xelatex', 'notebook.tex', '-quiet']" command: This is XeTeX, Version 3.1415926-2.5-0.9999.3 (TeX Live 2013) restricted \write18 enabled.

            pathsea: Running mktexfmt xelatex.fmt

            I can't find the format file `xelatex.fmt'!



            Answered 2021-Nov-19 at 14:22

            Ref: https://www.systutorials.com/how-to-install-tex-live-on-centos-7-linux/

            yum update

            yum install perl

            yum install perl-Digest-MD5

            wget https://mirror.ctan.org/systems/texlive/tlnet/install-tl-unx.tar.gz

            tar -xf install-tl-unx.tar.gz

            cd install-tl-20211117

            sudo -s

            ./install-tl After that you will see some text, It will ask about Input you can select (I) as option.

            vi ~/.bashrc

            export PATH=/usr/local/texlive/2021/bin/x86_64-linux/:$PATH source ~/.bashrc

            yum install texlive-xetex texlive-fonts-recommended texlive-plain-generic

            Source https://stackoverflow.com/questions/69988132


            Unable to Deploy Django App to Heroku because of PyWin32
            Asked 2021-Nov-14 at 11:37

            So I have gone through the forums in search for an answer but haven't found one that works for me. I am using Windows machine and my Django application works on Localhost but when I try to deploy the same application to Heroku it gives me this error.



            Answered 2021-Nov-14 at 11:37

            In your current requirements.txt you marked pywin32 with environment marker platform_system == "Windows". I think the syntax is wrong. The correct syntax from PEP 496 is:

            Source https://stackoverflow.com/questions/69958591


            ModuleNotFoundError: No module named 'mxnet'
            Asked 2021-Nov-06 at 19:16

            I have been looking for the solution for this error for a whole morning. I created an separate environment for python 3.6 and I still got this error. I am using anacondas. So i am so frustrated.

            ModuleNotFoundError: No module named 'mxnet'



            Answered 2021-Nov-06 at 19:10

            use pip install mxnet. don't use conda install mxnet. if there is an error about permission, then use pip install mxnet --user. It worked for me.

            Source https://stackoverflow.com/questions/69866838


            Add papermill parameters to notebook manually
            Asked 2021-Oct-27 at 16:37

            Is is possible to add papermill parameters to a jupyter notebook manually, e.g. in an editor? Is it possible to add papermill parameters to a .py file and have them persist when converted to a .pynb file?


            I am working on running jupyter notebooks in an automated way via Papermill. I would like to add parameters to a notebook manually rather than using jupyter or jupyter lab interfaces. Ideally these parameters could be added to a python script .py file first. Upon converting the .py file to a .ipynb file the parameters would persist.

            My desired workflow looks like this:

            1. Store generic notebook as a < notebook >.py file with parameters in version control repository
            2. Convert python script < notebook >.py to jupyter notebook < notebook >.ipynb
            3. Run < notebook >.ipynb via papermill and pass parameters to it
            4. Use nbconvert to produce output pdf with no code (using exclude_input argument)

            Steps 1-3 will be run via a script that can be auotmated. I want to use jupytext to avoid storing the notebooks and all their associated metadata. Currently, the only way I can find to add parameters to a notebook is to add them via jupyter/(lab) interfaces. Then I can run the notebook with papermill. However, this doesn't work with the jupytext conversion.

            *Note I would have added the "jupytext" tag to this but it doesn't exist yet and I don't have enough rep to create


            gooseberry's answer appears to be the correct one.

            However, it doesn't actually appear to be necessary to add a parameters tag to your notebook in order to inject parameters via papermill. While papermill will give a no cell with tag parameters found in notebook warning it will still inject the parameters. Additionally, your output notebook from papermill will have a new cell:



            Answered 2021-Oct-22 at 05:21

            It depends which of the formats you chose for your .py files, but assuming you've chosen the "percent" format, where each new cell is marked with #%%, to add tags you write:

            Source https://stackoverflow.com/questions/69652215

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network


            No vulnerabilities reported

            Install nbconvert

            Check if pandoc is installed (pandoc --version); if needed, install:.


            Documentation for Jupyter nbconvert [PDF]nbconvert examples on GitHubDocumentation for Project Jupyter [PDF]
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