Do you also have a love-hate relationship with matplotlib? So do I! That’s why I created this mini-project that can help you graph your data using natural language. The package dependencies require openai and matplotlib, and it is unbelievably easy to use. Calling OpenAI’s GPT API, prompt engineering, and using few-shot learning, matplotlib_ai is capable of generating graphs without requiring you to write a single line of matplotlib code! Check out this GitHub link: https://github.com/notY0rick/matplotlib_ai
Release files for matplotlib-ai 1.0.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| matplotlib_ai-1.0.3.tar.gz | 4.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| matplotlib_ai-1.0.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 8.5 kB
Release files / matplotlib_ai-1.0.3.tar.gz
| Download URL | matplotlib_ai-1.0.3.tar.gz |
|---|---|
| Size | 4.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
a7f33ac61220e512a499ae757f81e71ada1b5cfcdbbb2df1973193c3d7391312
|
|
BLAKE2b-256 checksum How to use checksums |
46ff5c6f2b4ca6b6c4f56db6fd7711a77fd98fcd296430c774f208b04a32cef0
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.4
|
Release files / matplotlib_ai-1.0.3-py3-none-any.whl
| Download URL | matplotlib_ai-1.0.3-py3-none-any.whl |
|---|---|
| Size | 4.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
c05940dd4f947f41a10dfca54750ba366c0c49d88e86363cac2f5709b2f59e6a
|
|
BLAKE2b-256 checksum How to use checksums |
ba05d91d4338edbe20cd99e748ccea468932d40cd978c91742ebf6ea05909b8e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.4
|