Jupyter-Pandas DataFrame integration and visualisation
Project description
SubFrame
DataFrame-friendly jQuery Plugins for Jupyter Notebook:
Usage
In [1]: import subframe
subframe.plugins.enable()
In [2]: import pandas
d = pandas.DataFrame({
'x': [1, 1, 1, 2, 3],
'a': [1, 2, 2, 1, 3],
'b': [23.534, 234.4, 27654.43, 2534.6, 342]
})
In [3]: subframe.DataTable(d)
Out[3]: ...
In [4]: subframe.PivotTable(d)
Out[4]: ...
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
subframe-0.0.1.tar.gz
(144.2 kB
view details)
Built Distribution
subframe-0.0.1-py2.py3-none-any.whl
(153.0 kB
view details)
File details
Details for the file subframe-0.0.1.tar.gz.
File metadata
- Download URL: subframe-0.0.1.tar.gz
- Upload date:
- Size: 144.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 2271453e8c53923983fc4c03cdc369f1e7a2cf679a14619e37a6527b6f340130 |
|
| MD5 | 42e090dbf471f5ab71d6b9a1c9133fa3 |
|
| BLAKE2b-256 | 727711a0021273881c1e345a411ac71da921b6f7a65be73058c80e1e127ca8c8 |
File details
Details for the file subframe-0.0.1-py2.py3-none-any.whl.
File metadata
- Download URL: subframe-0.0.1-py2.py3-none-any.whl
- Upload date:
- Size: 153.0 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | e70c9e4ba85127d6ac82a828e0e12e5fc6cc3e98f5154d22d2f2a4f0e912c563 |
|
| MD5 | e833db35ce516549eb1bfbcf66a4eb28 |
|
| BLAKE2b-256 | d2a12247fd4402c94bc9a2b1fad1933b6f6f89a9d6c3a35d66b5d567cdb2f993 |
