Swanplot
Python plotting tool for datacubes
Utilises numpy, pillow, and pydantic
to use the package pip install and import swanplot and then upload to the (animate web endpoint)["https://animate.deno.dev"]. The data will be rendered client side (no scrapping of data) inside your browser.
import swanplot as splt
ax = splt.axes()
ax.hist(data)
ax.savefig("animation.json")
1 maintainer
Metadata
1 maintainer
Release files for swanplot 0.1.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| swanplot-0.1.5.tar.gz | 41.5 kB | Without provenance | Details for swanplot-0.1.5.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| swanplot-0.1.5-py3-none-any.whl | Python 3 | none | any | Details for swanplot-0.1.5-py3-none-any.whl |
Total release size: 48.6 kB
Release files / swanplot-0.1.5.tar.gz
| Download URL | swanplot-0.1.5.tar.gz |
|---|---|
| Size | 41.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
417c996ba7678576f3767ba67b8919af0d109c1d7859bc349c56f4c93cc961b0
|
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BLAKE2b-256 checksum How to use checksums |
2939613f6b29d3b95876238654fe11ebd6632ce432c1da332a8c8f6b28158350
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.7.13
|
Release files / swanplot-0.1.5-py3-none-any.whl
| Download URL | swanplot-0.1.5-py3-none-any.whl |
|---|---|
| Size | 7.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
82fc251cd85e79b3efc73e4fd2f36c50baf07941a9e36ce44c5138dcc1c2cafc
|
|
BLAKE2b-256 checksum How to use checksums |
d64ed66f8065ca7b04535b9b41c7e9ad70d68195daa250a0500e774425302d29
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.7.13
|
Security for swanplot 0.1.5
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