A Python charting library with support for pandas, polars, and numpy.
Project description
gocharts
gocharts is a Python library for creating interactive, publication-quality charts using ECharts and a grammar of graphics approach inspired by ggplot2.
Features
- Grammar of Graphics: Build complex visualizations by layering components (data, aesthetics, geoms, scales, etc.).
- Interactive Charts: Powered by ECharts for rich, interactive visualizations.
- Flexible API: Compose plots using a familiar, declarative syntax.
- Export Options: Render charts in Jupyter notebooks, web apps, or export as HTML.
Installation
pip install gocharts
Quick Start
import gocharts as goc
import pandas as pd
df = pd.DataFrame({
"time": [1, 2, 3, 4],
"score": [10, 15, 13, 17]
})
gochart = goc.GoChart(df) \
.geom('line', map = {'x':'time','y':'score'})
gochart.display()
Documentation
License
TBD
Acknowledgements
Project details
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
gocharts-0.1.0.tar.gz
(11.4 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
gocharts-0.1.0-py3-none-any.whl
(11.8 kB
view details)
File details
Details for the file gocharts-0.1.0.tar.gz.
File metadata
- Download URL: gocharts-0.1.0.tar.gz
- Upload date:
- Size: 11.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.11.1
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
dad67aea9fcd1f0061063555128370884c91562de9fd34fe640154e2fe15aed9
|
|
| MD5 |
0806a5e68348e9b146f320004c0a5189
|
|
| BLAKE2b-256 |
d00a80ecba6e66aee77f39bc24e1e96b729297c789ef1e900483fef40f089ac1
|
File details
Details for the file gocharts-0.1.0-py3-none-any.whl.
File metadata
- Download URL: gocharts-0.1.0-py3-none-any.whl
- Upload date:
- Size: 11.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.11.1
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
04bfa76ab0726729752328107fc2aeda228c4ad69e354cfbb498d75c7b5d37c3
|
|
| MD5 |
57b827f21586f6de6824191aa391d78e
|
|
| BLAKE2b-256 |
3fffd54c4b6ccb608401609a0bb04b0e7b4ee0dbdc80f38dbe694bfa0f14337f
|