Either:
pip install execnb
or if you use conda:
conda install -c fastai execnb
(You can replace conda with mamba in the line above if you have
mamba installed.)
Use
CaptureShell
to run Jupyter code and capture notebook outputs, without running a
Jupyter server (or even having it installed):
from execnb.nbio import *
from execnb.shell import *
from fastcore.utils import *s = CaptureShell()
s.run('1 1')[{'data': {'text/plain': ['2']},
'metadata': {},
'output_type': 'execute_result',
'execution_count': 1}]
To execute a notebook and save it with outputs filled in, use
CaptureShell.execute:
try:
s.execute('../tests/clean.ipynb', 'tmp.ipynb')
print(read_nb('tmp.ipynb').cells[1].outputs)
finally: Path('tmp.ipynb').unlink()[{'name': 'stdout', 'output_type': 'stream', 'text': ['1\n']}, {'data': {'text/plain': ['2']}, 'execution_count': 3, 'metadata': {}, 'output_type': 'execute_result'}]
You can also execute notebooks from the command line with
exec_nb:
!exec_nb --helpusage: exec_nb [-h] [--dest DEST] [--exc_stop] [--inject_code INJECT_CODE]
[--inject_path INJECT_PATH] [--inject_idx INJECT_IDX]
src
Execute notebook from `src` and save with outputs to `dest`
positional arguments:
src Notebook path to read from
optional arguments:
-h, --help show this help message and exit
--dest DEST Notebook path to write to (default: )
--exc_stop Stop on exceptions? (default: False)
--inject_code INJECT_CODE Code to inject into a cell
--inject_path INJECT_PATH Path to file containing code to inject into a cell
--inject_idx INJECT_IDX Cell to replace with `inject_code` (default: 0)