The new Jupyter Lab is great, but I am missing the option to turn cells into slides. In classic Jupyter Notebooks, that was under "View > Cell Toolbar > Slideshow":
What happened to the feature? Is there a way to edit slides in Jupyter Lab?
I have jupyter lab 1.1.4 installed on Ubuntu 18.04.3 LTS and am using a python 3 virtual env kernel and it works great. Just complete your notebook and then configure each cell using the "Notebook Tools" tab on the far left (as shown in screenshot). Then save and close the notebook and run below command to output the slides.
Open the terminal and navigate to the recently saved .ipynb and run
jupyter nbconvert Untitled2.ipynb --to slides
For slides or say
jupyter nbconvert Untitled2.ipynb --to pdf
For a pdf
Note: You might need to install the Tex package to perfrom pdf outputs. See the docs here or just run the below command to install it.
sudo apt-get install texlive-xetex texlive-fonts-recommended texlive-generic-recommended
Cheers
In Jupyter Lab you can alter the 'slide type' in the 'Cell Inspector' menu.
It is still possible using nbconvert
Presenting Code Using Jupyter Notebook Slides
command you need to run:
jupyter nbconvert jupyter_notebook.ipynb --to slides --post serve
if you require the slideshow cell editing functionality you can either set it in the metadata as explained in this question, or you can switch from Lab to Notebook by going Help >> Launch Classic Notebook.
re:
However, this doesn’t give me the slideshow cell editing functionality I need in the notebook.
Related
I have already download and installed the Anaconda. However, I have a blank page when I open the Jupyter Notebook. I dont know what happen.
Jupyter Notebook: 6.4.5
MacOs: 12.2.1
I use Google Chrome and solved my problem by reading the official Jupyter Notebook page in the section "Jupyter fails to start".
https://jupyter-notebook.readthedocs.io/en/latest/troubleshooting.html
In my case, one of my Chrome extensions was messing with Jupyter, I disabled them all and reactivated them one by one until I found which one was messing up.
I have some code in a .ipynb file and got it to the point where I don't really need the "interactive" feature of IPython Notebook. I would like to just run it straight from a Mac Terminal Command Line.
Basically, if this were just a .py file, I believe I could just do python filename.py from the command line. Is there something similar for a .ipynb file?
nbconvert allows you to run notebooks with the --execute flag:
jupyter nbconvert --execute <notebook>
If you want to run a notebook and produce a new notebook, you can add --to notebook:
jupyter nbconvert --execute --to notebook <notebook>
Or if you want to replace the existing notebook with the new output:
jupyter nbconvert --execute --to notebook --inplace <notebook>
Since that's a really long command, you can use an alias:
alias nbx="jupyter nbconvert --execute --to notebook"
nbx [--inplace] <notebook>
From the command line you can convert a notebook to python with this command:
jupyter nbconvert --to python nb.ipynb
https://github.com/jupyter/nbconvert
You may have to install the python mistune package:
sudo pip install -U mistune
In your Terminal run ipython:
ipython
then locate your script and put there:
%run your_script.ipynb
You can export all your code from .ipynb and save it as a .py script. Then you can run the script in your terminal.
Hope it helps.
Using ipython:
ipython --TerminalIPythonApp.file_to_run=<notebook>.ipynb
Normally, I would prefer this option as it is really self-describing. If you prefer to use less characters, use:
ipython -c "%run <notebook>.ipynb"
which is basically what Keto already suggested (unfortunately a little bit hidden) as a comment.
In my case, the command that best suited me was:
jupyter nbconvert --execute --clear-output <notebook>.ipynb
Why? This command does not create extra files (just like a .py file) and the output of the cells is overwritten everytime the notebook is executed.
If you run:
jupyter nbconvert --help
--clear-output
Clear output of current file and save in place, overwriting the existing notebook.
For new version instead of:
ipython nbconvert --to python <YourNotebook>.ipynb
You can use jupyter instend of ipython:
jupyter nbconvert --to python <YourNotebook>.ipynb
Update with quoted comment by author for better visibility:
Author's note "This project started before Jupyter's execute API, which is now the recommended way to run notebooks from the command-line. Consider runipy deprecated and unmaintained." – Sebastian Palma
Install runipy library that allows running your code on terminal
pip install runipy
After just compiler your code:
runipy <YourNotebookName>.ipynb
You can try cronjob as well. All information is here
I had the same problem and I found papermill. The advantages against the others solutions is that you can see the results while the notebook is running. I find this feature interesting when the notebook takes very long. It is very easy to use:
pip install papermill
papermill notebook.ipynb output.ipynb
It has also, other handy options as saving the output file to Amazon S3, Google Cloud, etc. See the page for more information.
You can also use the boar package to run your notebook within a python code.
from boar.running import run_notebook
outputs = run_notebook("nb.ipynb")
If you update your notebook, you won't have to convert it again to a python file.
More information at:
https://github.com/alexandreCameron/boar/blob/master/USAGE.md
There is now a jupyter run subcommand that will execute a notebook.
jupyter run notebook.ipynb
More on this command can be found in the Jupyter documentation.
From the terminal run
jupyter nbconvert --execute --to notebook --inplace --allow-errors --ExecutePreprocessor.timeout=-1 my_nb.ipynb
The default timeout is 30 seconds. -1 removes the restriction.
If you wish to save the output notebook to a new notebook you can use the flag --output my_new_nb.ipynb
You can also use jupytext https://jupytext.readthedocs.io/en/latest/index.html.
This allows you to pair your notebook. So for each ipynb file you have a .py file as well with some comments. The .py file can be executed as usual.
You can enjoy benefits of two worlds with the cost of one extra file though.
Oh, and by the way if you are using version control you can only commit .py files with a nice diff instead of the ugly .ipynb diffs.
(The syntax in the .py files is similar to Databricks notebooks iy you are familiar with them...)
In a batch file paste the below. Use ipython to run .ipynb files.
#echo on
call "C:\ProgramData\Anaconda3\Scripts\activate.bat"
ipython "path\test.ipynb"
pause
I've made some research on this topic and wrote an article on 4 ways to run Jupyter Notebook in command line below is summary of my findings.
1. Use nbconvert
The nbconvert package is already installed in Jupyter Notebook. It can be used to execute notebook. Additionally it has many features:
can export notebook to PDF or HTML,
can hide code in output notebook,
can execute notebook even with errors in cells.
Example notebook execution:
jupyter nbconvert --execute --to notebook --allow-errors your-notebook.ipynb
The above command will output your-notebook.nbconvert.ipynb file and will execute all cells even with errors.
2. Use papermill
The papermill allows you to parametrize notebook. You can define variables as parameters (with cell tags).
Example command:
papermill -p name Piotrek your-notebook.ipynb output-notebook.ipynb
Example notebook with injected parameters:
3. Manually download notebook as .py script
There is an option to manually download notebook as .py script:
After download you can add execution rights to the file and run it as a command line script.
4. Use jupytext
The jupytext package allows you to synchronize .ipynb file with .py file. You don't need to manually convert notebook to script.
I am following these steps to run IPython in the Pycharm IDE. On pressing run button in any cell, I do get below pop-up window
According to the mentioned guide (given link), On pressing OK, I should get following message
But, I am not getting any type of message/response. So, I am not able to see the output of any cell contents. Does anyone know why I am not getting any response on selecting OK?
System Information:
OS: MAC OS 10.10.3
Python: 2.7.10 using Anaconda 2.3.0
Ipython: 4.0.0
Pycharm: pycharm community addition 2016.2
I solved following:
First I followed the reply to the issue jupyter-notebook No such file or directory: 'conda', in short you should do:
conda update nb_conda nb_conda_kernels nb_anacondacloud
Then, I ran my jupyter notebook in my browser. I took note where the Jupyter notebook was running, i.e.
The Jupyter Notebook is running at: http://localhost:8888/
Then I started a new Jupyter Notebook in PyCharm2016.2.2, and when it asked about the Jupyter Notebook URL I changed the default http://127.0.0.1:8888 to http://localhost:8888/
and finally it worked.
For the PyCharm Jupyter notebooks, to see results you need to open up a jupyter notebook.
The reason why you don't just do all your code in Jupyter Notebooks is because Pycharm helps with LaTex integration and many more functions.
According to this answer:
Jupyter notebook server not working with latest PyCharm 2017.2 update. How do I solve this?
You need a package named ”notebook“. I had the same issue and I solved it by installing the package.
I have some code in a .ipynb file and got it to the point where I don't really need the "interactive" feature of IPython Notebook. I would like to just run it straight from a Mac Terminal Command Line.
Basically, if this were just a .py file, I believe I could just do python filename.py from the command line. Is there something similar for a .ipynb file?
nbconvert allows you to run notebooks with the --execute flag:
jupyter nbconvert --execute <notebook>
If you want to run a notebook and produce a new notebook, you can add --to notebook:
jupyter nbconvert --execute --to notebook <notebook>
Or if you want to replace the existing notebook with the new output:
jupyter nbconvert --execute --to notebook --inplace <notebook>
Since that's a really long command, you can use an alias:
alias nbx="jupyter nbconvert --execute --to notebook"
nbx [--inplace] <notebook>
From the command line you can convert a notebook to python with this command:
jupyter nbconvert --to python nb.ipynb
https://github.com/jupyter/nbconvert
You may have to install the python mistune package:
sudo pip install -U mistune
In your Terminal run ipython:
ipython
then locate your script and put there:
%run your_script.ipynb
You can export all your code from .ipynb and save it as a .py script. Then you can run the script in your terminal.
Hope it helps.
Using ipython:
ipython --TerminalIPythonApp.file_to_run=<notebook>.ipynb
Normally, I would prefer this option as it is really self-describing. If you prefer to use less characters, use:
ipython -c "%run <notebook>.ipynb"
which is basically what Keto already suggested (unfortunately a little bit hidden) as a comment.
In my case, the command that best suited me was:
jupyter nbconvert --execute --clear-output <notebook>.ipynb
Why? This command does not create extra files (just like a .py file) and the output of the cells is overwritten everytime the notebook is executed.
If you run:
jupyter nbconvert --help
--clear-output
Clear output of current file and save in place, overwriting the existing notebook.
For new version instead of:
ipython nbconvert --to python <YourNotebook>.ipynb
You can use jupyter instend of ipython:
jupyter nbconvert --to python <YourNotebook>.ipynb
Update with quoted comment by author for better visibility:
Author's note "This project started before Jupyter's execute API, which is now the recommended way to run notebooks from the command-line. Consider runipy deprecated and unmaintained." – Sebastian Palma
Install runipy library that allows running your code on terminal
pip install runipy
After just compiler your code:
runipy <YourNotebookName>.ipynb
You can try cronjob as well. All information is here
I had the same problem and I found papermill. The advantages against the others solutions is that you can see the results while the notebook is running. I find this feature interesting when the notebook takes very long. It is very easy to use:
pip install papermill
papermill notebook.ipynb output.ipynb
It has also, other handy options as saving the output file to Amazon S3, Google Cloud, etc. See the page for more information.
You can also use the boar package to run your notebook within a python code.
from boar.running import run_notebook
outputs = run_notebook("nb.ipynb")
If you update your notebook, you won't have to convert it again to a python file.
More information at:
https://github.com/alexandreCameron/boar/blob/master/USAGE.md
There is now a jupyter run subcommand that will execute a notebook.
jupyter run notebook.ipynb
More on this command can be found in the Jupyter documentation.
From the terminal run
jupyter nbconvert --execute --to notebook --inplace --allow-errors --ExecutePreprocessor.timeout=-1 my_nb.ipynb
The default timeout is 30 seconds. -1 removes the restriction.
If you wish to save the output notebook to a new notebook you can use the flag --output my_new_nb.ipynb
You can also use jupytext https://jupytext.readthedocs.io/en/latest/index.html.
This allows you to pair your notebook. So for each ipynb file you have a .py file as well with some comments. The .py file can be executed as usual.
You can enjoy benefits of two worlds with the cost of one extra file though.
Oh, and by the way if you are using version control you can only commit .py files with a nice diff instead of the ugly .ipynb diffs.
(The syntax in the .py files is similar to Databricks notebooks iy you are familiar with them...)
In a batch file paste the below. Use ipython to run .ipynb files.
#echo on
call "C:\ProgramData\Anaconda3\Scripts\activate.bat"
ipython "path\test.ipynb"
pause
I've made some research on this topic and wrote an article on 4 ways to run Jupyter Notebook in command line below is summary of my findings.
1. Use nbconvert
The nbconvert package is already installed in Jupyter Notebook. It can be used to execute notebook. Additionally it has many features:
can export notebook to PDF or HTML,
can hide code in output notebook,
can execute notebook even with errors in cells.
Example notebook execution:
jupyter nbconvert --execute --to notebook --allow-errors your-notebook.ipynb
The above command will output your-notebook.nbconvert.ipynb file and will execute all cells even with errors.
2. Use papermill
The papermill allows you to parametrize notebook. You can define variables as parameters (with cell tags).
Example command:
papermill -p name Piotrek your-notebook.ipynb output-notebook.ipynb
Example notebook with injected parameters:
3. Manually download notebook as .py script
There is an option to manually download notebook as .py script:
After download you can add execution rights to the file and run it as a command line script.
4. Use jupytext
The jupytext package allows you to synchronize .ipynb file with .py file. You don't need to manually convert notebook to script.
I have installed extension 'calico-document-tools' and I can load it from within Jupyter notebook using:
%%javascript
IPython.load_extensions('calico-document-tools');
How can I load it automatically for each opened notebook?
I tried adding IPython.load_extensions('calico-document-tools'); or IPython.load_extensions('C:/Users/<username>/.ipython/nbextensions/calico-document-tools'); to C:\Users\<username>\.ipython\profile_default\static\custom\custom.js but it didn't work (extension should display a number of buttons on the toolbar).
I have only one profile, created with ipython profile create, Python 3.3, Windows 7. Thanks in advance.
To install the extensions I followed the instructions in this notebook (not available anymore).
I adjusted them a little to be compatible with ipython4 (where the notebook server is called jupyter). This command installs the extension globally:
$ jupyter nbextension install https://github.com/Calysto/notebook-extensions/archive/master.zip
Then enable this extension:
$ jupyter nbextension enable calico-document-tools
When you now open or reload a notebook, it should load the extension
Updating the config to enable the extensions can also be done from inside the notebook:
%%javascript
IPython.notebook.config.update({
"load_extensions": {"calico-spell-check":true,
"calico-document-tools":true,
"calico-cell-tools":true
}
})