Remove output from IPython notebook from the command line (dev version 1.0)

remove_output.py

"""
Usage: python remove_output.py notebook.ipynb [ > without_output.ipynb ]
Modified from remove_output by Minrk

"""
import sys
import io
import os
from IPython.nbformat.current import read, write


def remove_outputs(nb):
    """remove the outputs from a notebook"""
    for ws in nb.worksheets:
        for cell in ws.cells:
            if cell.cell_type == 'code':
                cell.outputs = []

if __name__ == '__main__':
    fname = sys.argv[1]
    with io.open(fname, 'r') as f:
        nb = read(f, 'json')
    remove_outputs(nb)
    base, ext = os.path.splitext(fname)
    new_ipynb = "%s_removed%s" % (base, ext)
    with io.open(new_ipynb, 'w', encoding='utf8') as f:
        write(nb, f, 'json')
    print "wrote %s" % new_ipynb

This resulted in a broken notebook for me, but Min RK's original script still worked.

Works like a charm! Really appreciate the snippet.

Doesn't work for version 4 notebook files.

It is very nice, thank you

THANK YOU! SAVED ME A LOT OF TIME!

Just came across this, awesome script. Thanks.

Nice! thanks.

Amazing! ^^

Thank you!

Thanks!

Awesome, thanks

jupyter nbconvert in.ipynb --to notebook --ClearOutputPreprocessor.enabled=True --stdout > out.ipynb

amazing!

Thank you! you are a life saver

I got the error
python clear_jupyter_notebook_output.py Untitled-Copy11.ipynb > Untitled-Copy11.ipynb
/Library/Python/2.7/site-packages/IPython/nbformat.py:13: ShimWarning: The IPython.nbformat package has been deprecated since IPython 4.0. You should import from nbformat instead.
"You should import from nbformat instead.", ShimWarning)
/Users/nsuh/Library/Python/2.7/lib/python/site-packages/nbformat/current.py:19: UserWarning: nbformat.current is deprecated.

• use nbformat for read/write/validate public API
• use nbformat.vX directly to composing notebooks of a particular version

Instead I would use https://stackoverflow.com/questions/28908319/how-to-clear-an-ipython-notebooks-output-in-all-cells-from-the-linux-terminal

Thank you very much for this!

Thanks! You saved my day :)

thanks alooooot

Thank you @nsuh for the link to use Jupyter's nbconvert:
https://stackoverflow.com/questions/28908319/how-to-clear-an-ipython-notebooks-output-in-all-cells-from-the-linux-terminal

jupyter nbconvert --ClearOutputPreprocessor.enabled=True --inplace Notebook.ipynb

Use clean_ipynb, which not only clears notebook output but can also clean the code.

Install by pip install clean_ipynb

Run by clean_ipynb hello.ipynb

Use clean_ipynb, which not only clears notebook output but can also clean the code.

Install by pip install clean_ipynb

Run by clean_ipynb hello.ipynb

Wow,,, this works like a majic for me...saves me from lots of hardle... I was having issues dealing with my jupyter lab and it was not opening. After cleaning up the output, jupyter lab started working fine..
Great tips.

@ KwatME you saved me from hell. A work of a weekend

Thank! This helped me to open notebook.ipynb with 1,000,000 lines of output!

Use clean_ipynb, which not only clears notebook output but can also clean the code.

Install by pip install clean_ipynb

Run by clean_ipynb hello.ipynb

This is best.

The last line is Python2 specific. It could be made Python2/3 compatible by using

from __future__ import print_function
# existing code
print("wrote %s" % new_ipynb)

Hey!
Thanks for this, it put me on the right track. In my case, history was being clogged up with 10's to 100's of MBs for a file that is supposed to be under 50KB. I removed history and all cell outputs and found the file to be back to its correct size.

The nuclear option....

Here's my update for Python 3:
https://gist.github.com/mathematicalmichael/a206b2a21de0bf88a5703e8700403019

this worked for me a few months back, but now I get the following error: UnicodeDecodeError: 'charmap' codec can't decode byte 0x81 in position 1843494: character maps to

error is thrown for nb =read(f, 'json')

I love it..
thank you dude

I wasn't able to get this version or @mathematicalmichael version to work due to errors.

I was able to recover my 75 MB .ipynb file that was too large to load in Jupyter notebook on Chrome. I made the mistake of printing a gigantic list to the notebook output and saving the .ipynb. The solution was to open the .ipynb file with a simple text editor and delete the gigantic list output and this dropped the file size to 3 MB. Now it works.