ChartGPT is a lightweight and user-friendly tool designed to assist you in visualizing your Pandas dataframes. Whether you are working in a Jupyter notebook or developing a Dash application, ChartGPT makes it effortless to generate stunning charts and plots. 📈
Features 🌟
- Intuitive integration with Pandas dataframes 🐼
- Supports both Jupyter notebooks and Dash applications 📓🚀
- Simple installation and setup ⚙️
Installation ⬇️
You can install ChartGPT using pip:
pip install chartgpt
Example Usage 🎉
Jupyter Notebook 📔
import chartgpt as cg
df = pd.read_csv('data.csv')
chart = cg.Chart(df, api_key="YOUR_API_KEY")
chart.plot("Pop vs. State")
Generated graph after inputting 'Pop vs. State'
Dash App 🚀
Documentation 📚
For detailed information on how to use ChartGPT, please refer to the documentation.
License 📜
This project is licensed under the MIT License - see the LICENSE file for details.
Release files for chartgpt 0.0.7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| chartgpt-0.0.7.tar.gz | 1.6 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| chartgpt-0.0.7-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 1.6 MB
Release files / chartgpt-0.0.7.tar.gz
| Download URL | chartgpt-0.0.7.tar.gz |
|---|---|
| Size | 1.6 MB |
| Tags | Source |
|
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/5.0.0 CPython/3.9.19
|
Release files / chartgpt-0.0.7-py3-none-any.whl
| Download URL | chartgpt-0.0.7-py3-none-any.whl |
|---|---|
| Size | 8.3 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/5.0.0 CPython/3.9.19
|
