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