%%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
0,1,4
1,2,5
2,3,6
This will cache the dataframe and automatically load it when re-executing the cell.
Metadata
Release files for ipy-pdcache 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ipy_pdcache-0.1.0.tar.gz | 2.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ipy_pdcache-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 4.8 kB
Release files / ipy_pdcache-0.1.0.tar.gz
| Download URL | ipy_pdcache-0.1.0.tar.gz |
|---|---|
| Size | 2.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.2 importlib_metadata/4.6.4 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.1 CPython/3.9.6
|
Release files / ipy_pdcache-0.1.0-py3-none-any.whl
| Download URL | ipy_pdcache-0.1.0-py3-none-any.whl |
|---|---|
| Size | 2.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.2 importlib_metadata/4.6.4 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.1 CPython/3.9.6
|