ipy-pdcache 0.0.2

Automatically cache results of intensive computations in IPython.

%%pdcache cell magic

Automatically cache results of intensive computations in IPython.

Inspired by ipycache.

Installation

$ pip install ipy-pdcache

Usage

In IPython:

In [1]: %load_ext ipy_pdcache

In [2]: import pandas as pd

In [3]: %%pdcache df data.csv
   ...: df = pd.DataFrame({'A': [1,2,3], 'B': [4,5,6]})
   ...:

In [4]: !cat data.csv
A,B
1,4
2,5
3,6

This will cache the dataframe and automatically load it when re-executing the cell.

%load_ext ipy_pdcache import pandas as pd

%%pdcache df data.csv print('hu') df = pd.DataFrame({'A': [1,2,3], 'B': [4,5,6]}) print('ha') 1

Dev:

• https://ipython.readthedocs.io/en/stable/config/extensions/
• https://ipython.readthedocs.io/en/stable/config/custommagics.html#defining-magics

Testing:

• https://medium.com/@davide.sarra/how-to-test-magics-in-ipython-extensions-86d99e5d6802
• https://github.com/davidesarra/jupyter_spaces/blob/master/tests/test_magics.py