nbconvert | Jupyter Notebook Conversion | Data Manipulation library
kandi X-RAY | nbconvert Summary
kandi X-RAY | nbconvert Summary
Jupyter Notebook Conversion
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Top functions reviewed by kandi - BETA
- 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 .
nbconvert Key Features
nbconvert Examples and Code Snippets
Lines of Code : 5License : Permissive (MIT)
Copyrepos:
- repo: https://github.com/dfm/black_nbconvert
rev: v0.3.0
hooks:
- id: black_nbconvert
pip install black_nbconvert
black_nbconvert --check /path/to/a/notebook.ipynb
black_nbconvert /path/to/a/notebook.ipynb
black_nbconvert .
python is /opt/anaconda3/bin/python
python is /usr/local/bin/python
python is /usr/bin/python
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).permutejupyter nbconvert --execute --to sample_notebook1.ipynb --inplace sample_notebook1.ipynb
jupyter nbconvert --execute --to sample_notebook2.ipynb --inplace sample_notebook2.ipynb
nohup jupyter nbconvert --to notebook --execute test.ipynb &
import time
for x in range(1,1080):
print(x)
time.sleep(5)
jupyter nbconvert --to pdf --execute U-Run.ipynb
papermill U-Run.ipynb U-Run-2.ipynb
jupyter nbconvert --to pdf U-Run-2.ipynb
pip3 install traitlets==5.1.1
pip3 install pygments==2.4.1
\date{}
conda create --name foo -c conda-forge axelrod
Community Discussions
Trending Discussions on nbconvert
QUESTION
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
...ANSWER
Answered 2022-Jan-17 at 02:49Notice 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.
QUESTION
I am using nbconvert programmatically to export a jupyter notebook file to pdf:
...ANSWER
Answered 2022-Feb-03 at 08:58By default the date is set to `\date{\today}, you can overwrite it by setting it to something else, e.g. with an empty argument:
QUESTION
I install new modules via the following command in my miniconda
...ANSWER
Answered 2022-Jan-06 at 20:11Consider creating a separate environment, e.g.,
QUESTION
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):
...ANSWER
Answered 2022-Jan-05 at 16:12compare 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.
QUESTION
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:
ANSWER
Answered 2021-Dec-25 at 14:42Streamlit 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.
QUESTION
Good day
I am getting an error while importing my environment:
...ANSWER
Answered 2021-Dec-03 at 09:22Build tags in you environment.yml are quite strict requirements to satisfy and most often not needed. In your case, changing the yml file to
QUESTION
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.
...Error:
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'!
ANSWER
Answered 2021-Nov-19 at 14:22Ref: 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
QUESTION
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.
...ANSWER
Answered 2021-Nov-14 at 11:37In 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:
QUESTION
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'
...ANSWER
Answered 2021-Nov-06 at 19:10use 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.
QUESTION
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?
Context:
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:
- Store generic notebook as a < notebook >.py file with parameters in version control repository
- Convert python script < notebook >.py to jupyter notebook < notebook >.ipynb
- Run < notebook >.ipynb via papermill and pass parameters to it
- 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
EDITgooseberry'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:
ANSWER
Answered 2021-Oct-22 at 05:21It 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:
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