As Jupyter Notebook integration is available in PyCharm professional, is there a GUI option to convert a .py to a .ipynb file?
I tried to edit the file extension, e.g. from test.py to test.ipynb, but then I can't open the .ipynb file.
Simplest way I found without installing extra dependencies is:
Create a new notebook: File > New > Jupyter notebook
Copy and paste the Python code into it
Then you can add #%% markers to separate the cells.
If all you want is just to run your code cell by cell directly on Pycharm's console, you don't need to convert it from .py to .ipynb.
Just activate View > Scientific Mode and add #%% markers to separate the cells directly in your .py file. Now you can execute it by using the green arrows on the left side of your code.
Tested on Pycharm professional 2020.3.2
Try using
pip install ipynb-py-convert
https://medium.com/#researchplex/the-easiest-way-to-convert-jupyter-ipynb-to-python-py-912e39f16917
without using iSpyder DOS shell commands, how can an .ipynb (Jupyter Notebook) be opened directly into Spyder on Windows? Even the online Jupyter Notebook site prompts for a relative directory path where the file is stored.
Why isn't there something that just loads the Notebook how it's supposed to look without typing a bunch of directory commands,
and why does Spyder's RUN button become greyed out when it loads the .ipynb file?
I have no idea what the .ipynb file format is compared to regular .py files
Opening lines of the .ipynb when loaded in Spyder are:
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"ExecuteTime": {
This does not look like python code whatsoever
You may check out https://github.com/spyder-ide/spyder-notebook
Once you install this, you can open native .ipynb files in spyder
From the website:
Spyder plugin to use Jupyter notebooks inside Spyder. Currently it
supports basic functionality such as creating new notebooks, opening
any notebook in your filesystem and saving notebooks at any location.
You can also use Spyder's file switcher to easily switch between
notebooks and open an IPython console connected to the kernel of a
notebook to inspect its variables in the Variable Explorer.
The jupyter notebook plugin currently works with Spyder 4.2.5 version and will not work with Spyder 5.X versions.
If you are using Spyder-5.x and therefore cannot use the Spyder-notebook plugin (see the other answers), an alternative is to export the .ipynb from Jupyter as an executable .py script first, then open the .py script in Spyder.
Jupyter->Files->Save and Export Notebook as->Executable script
The .py script produced preserves the ipython cells, using the
# In[<cell name or number>]:
syntax, for dividing the code into cells.
In Spyder, you can then right-click on the cell, and select Run cell to execute it in the Spyder console.
Beware, that all the cells (Code, Markdown, and Raw) are saved in the .py script. You may need to add '''block quotes''' around your Markdown and Raw cells, to prevent SyntaxErrors when running the .py script file.
I'm starting a python project and when I'm opening a jupyter notebook in the directory I'm getting the following file. Normally there are other tabs such as kernel. Additionally I'm not able to run code using control + shift.
Jupyter notebooks are the files with extension .ipynb not with the extension .py which you are opening right now (main.py).
Look for a file with .ipynb extension and open it, it will run fine.
I'm trying to set a custom starting directory in Jupyter Notebook. I have edited jupyter_notebook_config.py.
Removed # from line "c.NotebookApp.notebook_dir =", added parameter:
c.NotebookApp.notebook_dir = u'c:\\my\\chosen\\directory'.
But still doesn't work, console coming up with error, and jupyter starting in the default home directory.
I'm using Windows server 2008. According to the manuals, it should work.
Does anyone have a suggestion about my problem?
The followings steps work perfectly for me on Windows:
First find which directory Jupyter is looking in for your config file:
jupyter --config-dir
If there is no jupyter_notebook_config.py file in that directory, generate one by typing:
jupyter notebook --generate-config
Then edit the jupyter_notebook_config.py file and add something like:
## The directory to use for notebooks and kernels.
c.NotebookApp.notebook_dir = 'c:\\users\\rsignell\\documents\\github'
Then start your jupyter notebook from any directory:
jupyter notebook
and it will start in the directory you specified.
For more info see: http://jupyter-notebook.readthedocs.io/en/latest/config.html
Microsoft Windows
Open dos command line by typing cmd on windows explorer address bar. This will open command prompt with current path set to current folder. Type jupyter notebook --notebook-dir=%CD% on commandline to start jupyter notebook (ipython notebook) with current directory as notebook's starting directory
I also had the problem, and editing jupyter configuration file didn't work either.
My workaround is to make a batch file that goes to a specified directory, then start jupyter notebook from that directory.
You can use notepad to write the batch file, just save it as an all files and specify the extension as .bat
An easy way is also available from DOS prompt using copy con. First, access command prompt (usually by typing "cmd" and enter). Then:
copy con startjupyter.bat
after that you can specify your directory and start notebook from there, for example if your directory is D:\python_codes :
d:
cd python_codes
jupyter notebook
After that, save the file using CTRL+Z and Enter.
You can run the batch file by calling the name (startjupyter), or click it. For the latter, maybe put it in your desktop for easy access.
I had also problems with the solutions given here. My solution was quick and dirty then, but it works with Windows. I made a batch-file:
cd C:\[starting Directory]
jupyter notebook
stop
You can start Jupyter with a defined directory when you use different batch-files. For example:
cd C:\datascience
or
cd C:\browsergame
How do you convert an IPython notebook file (json with .ipynb extension) into a regular .py module?
From the notebook menu you can save the file directly as a python script. Go to the 'File' option of the menu, then select 'Download as' and there you would see a 'Python (.py)' option.
Another option would be to use nbconvert from the command line:
jupyter nbconvert --to script 'my-notebook.ipynb'
Have a look here.
According to https://ipython.org/ipython-doc/3/notebook/nbconvert.html you are looking for the nbconvert command with the --to script option.
ipython nbconvert notebook.ipynb --to script
In short: This command-line option converts mynotebook.ipynb to python code:
jupyter nbconvert mynotebook.ipynb --to python
note: this is different from above answer. ipython has been renamed to jupyter. the old executable name (ipython) is deprecated.
More details:
jupyter command-line has an nbconvert argument which helps convert notebook files (*.ipynb) to various other formats.
You could even convert it to any one of these formats using the same command but different --to option:
asciidoc
custom
html
latex. (Awesome if you want to paste code in conference/journal papers).
markdown
notebook
pdf
python
rst
script
slides. (Whooh! Convert to slides for easy presentation 😊)
the same command jupyter nbconvert --to latex mynotebook.ipynb
For more see jupyter nbconvert --help. There are extensive options to this. You could even to execute the code first before converting, different log-level options etc.
you can use this to do that :
pip install ipynb-py-convert
then run this on your terminal to convert .py file to .ipynb :
ipynb-py-convert Ex/abc.py Ex/abc.ipynb
to convert .ipynb files to .py :
ipynb-py-convert Ex/abc.ipynb Ex/abc.py
Tested on Ubuntu 20.04
Install required packages for PIP
$ pip install ipython
$ pip install nbconvert
To install required packages
$ sudo apt-get install texlive-xetex texlive-fonts-recommended texlive-plain-generic
METHOD 1
Use jupyter nbconvert command to convert to different format
Source file pro.ipynb
To convert to ascii
$ jupyter nbconvert --to asciidoc pro.ipynb
To convert to pdf
$ jupyter nbconvert --to pdf pro.ipynb
To convert to python
$ jupyter nbconvert --to python pro.ipynb
METHOD 2
Convert ipynb project through python code use savefig method of pyplot:
pro.ipynb
import matplotlib.pyplot as plt
%matplotlib inline
exp_vals=[1400,600,300,410,250]
exp_labels=['Home Rent','Food','Phone/Internet Bill','Car','Other Utilities']
plt.axis('equal')
plt.pie(exp_vals,labels=exp_labels,radius=2,autopct='%0.1f%%',shadow=True,explode=[0,0.5,0,0.3,0],startangle=20)
# plt.show()
plt.savefig('piechart.jpg',bbox_inches='tight',pad_inches=2,transparent=True,edgecolor='r')
piechart.png image that it generated:
Hope this helps to convert your ~(`)/\/\/\_ [Python] code
well first of all you need to install this package below:
sudo apt install ipython
jupyter nbconvert --to script [YOUR_NOTEBOOK].ipynb
two options are available either --to python or --to=python
for me this works fine:
jupyter nbconvert --to python while.ipynb
[NbConvertApp] Converting notebook while.ipynb to python
[NbConvertApp] Writing 758 bytes to while.py
pip3 install ipython
if it does not work for you try, by pip3.
pip3 install ipython
You definitely can achieve that with nbconvert using the following command:
jupyter nbconvert --to python while.ipynb
However, having used it personally I would advise against it for several reasons:
It's one thing to be able to convert to simple Python code and another to have all the right abstractions, classes access and methods set up. If the whole point of you converting your notebook code to Python is getting to a state where your code and notebooks are maintainable for the long run, then nbconvert alone will not suffice. The only way to do that is by manually going through the codebase.
Notebooks inherently promote writing code which is not maintainable (https://docs.google.com/presentation/d/1n2RlMdmv1p25Xy5thJUhkKGvjtV-dkAIsUXP-AL4ffI/edit#slide=id.g3d7fe085e7_0_21). Using nbconvert on top might just prove to be a bandaid. Specific examples of where it promotes not-so-maintainable code are imports might be sprayed throughout, hard coded paths are not in one simple place to view, class abstractions might not be present, etc.
nbconvert still mixes execution code and library code.
Comments are still not present (probably were not in the notebook).
There is still a lack of unit tests etc.
So to summarize, there is not good way to out of the box convert python notebooks to maintainable, robust python modularized code, the only way is to manually do surgery.
You can run a .py file in the same directory:
import json
files = ["my_first_file_name.ipynb", "my_second_file_name.ipynb"]
for file in files:
code = json.load(open(file))
py_file = open(f"{file}.py", "w+")
for cell in code['cells']:
if cell['cell_type'] == 'code':
for line in cell['source']:
py_file.write(line)
py_file.write("\n")
elif cell['cell_type'] == 'markdown':
py_file.write("\n")
for line in cell['source']:
if line and line[0] == "#":
py_file.write(line)
py_file.write("\n")
py_file.close()
I rewrite this code from Syrtis Major's answer.
You can use the following script to convert jupyter notebook to Python script, or view the code directly.
To do this, write the following contents into a file cat_ipynb, then chmod +x cat_ipynb.
#!/usr/bin/env python
import sys
import json
for file in sys.argv[1:]:
print('# file: %s' % file)
print('# vi: filetype=python')
print('')
code = json.load(open(file))
for cell in code['cells']:
if cell['cell_type'] == 'code':
print('# -------- code --------')
for line in cell['source']:
print(line, end='')
print('\n')
elif cell['cell_type'] == 'markdown':
print('# -------- markdown --------')
for line in cell['source']:
print("#", line, end='')
print('\n')
Then you can use
cat_ipynb your_notebook.ipynb > output.py
Or show it with vi directly
cat_ipynb your_notebook.ipynb | view -
Go to https://jupyter.org/
click on nbviewer
Enter the location of your file and render it.
Click on view as code (shown as < />)
One way to do that would be to upload your script on Colab and download it in .py format from File -> Download .py
Convert the Ipynb dir files to .py
import os
for fname in os.listdir():
if fname.endswith('ipynb'):
os.system(f'jupyter nbconvert {fname} --to python')
Jupytext allows for such a conversion on the command line, and importantly you can go back again from the script to a notebook (even an executed notebook). See here.
Copy all the (''.ipynb) files in the Desired folder then execute:
import os
desired_path = 'C:\\Users\\Docs\\Ipynb Covertor'
os.chdir(desired_path)
list_of_directory = os.listdir(desired_path)
for file in list_of_directory:
os.system('ipython nbconvert --to script ' + str(file))
If this is a one-off, follow e.g. #kikocorreoso depending if you want to use command line or gui.
However, if you want some solution that will maintain a synchronized version of the .py and the .ipynb you really should consider using jupytext as also pointed out by #Wayne
Run conda install jupytext or pip install jupytext
Then do:
jupytext --set-formats ipynb,py <file>.ipynb
To keep it synchronized to the .py file:
jupytext --set-formats ipynb,py <file>.ipynb --sync
This will make sure jupyter keeps the two files in sync when saving from now on...
Last note: If you are a gui person, after running the installation command for jupytext, everything else can be done from the gui as well File-->Jupytext-->pair Notebook with light Script:
jupyter nbconvert [filename].ipynb --no-prompt --to python
The above code will generate [filename].py in the same directory
My version of Jupyter Notebook, 3.3.2, has this option on the File Menu: