PivotTable.js integration for Jupyter/IPython Notebook
Project description
Drag’n’drop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js
Installation
pip install pivottablejs
Usage
import pandas as pd
df = pd.read_csv("some_input.csv")
from pivottablejs import pivot_ui
pivot_ui(df)Advanced Usage
Include any option to PivotTable.js’s pivotUI() function as a keyword argument.
pivot_ui(df, rows=['row_name'], cols=['col_name'])Independently control the output file path and the URL used to access it from Jupyter, in case the default relative-URL behaviour is incompatible with Jupyter’s settings.
pivot_ui(df, outfile_path="/x/y.html", url="http://localhost/a/b/x.html")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
pivottablejs-0.8.0.tar.gz
(3.5 kB
view details)
Built Distribution
File details
Details for the file pivottablejs-0.8.0.tar.gz.
File metadata
- Download URL: pivottablejs-0.8.0.tar.gz
- Upload date:
- Size: 3.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
34721a8e9bc4cb384304bc924853b0fecaa0a6751aaefaa63cb1d89021f4b9ff
|
|
| MD5 |
6e828cfc72ef0502325d726a052c1f5f
|
|
| BLAKE2b-256 |
fb78517225db7bc2b449dc75d491cdf3bb0036ca63c064eb38f95ba38fcb9f9e
|
File details
Details for the file pivottablejs-0.8.0-py2.py3-none-any.whl.
File metadata
- Download URL: pivottablejs-0.8.0-py2.py3-none-any.whl
- Upload date:
- Size: 4.6 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
0b258136ad42db1076d14c498a6aade9faf852b6a2f74088494cf13bdaf5d527
|
|
| MD5 |
1bd065ce19c59c671aaf6727b5b6c269
|
|
| BLAKE2b-256 |
d34f551e42d26c8f9f4f0ef78b7672173227f80316ac47f9dee31a8ccf5b9519
|
