pybeario
A python package for Jerbeario's brand images.
CURRENTLY IN DEVELOPMENT
Features so far include:
Two personalized matplotlib style sheets (.mplsheet):
- bauhaus_dark
- bauhaus_light
Colors
- red : 5 value gradient to cream
- blue : 5 value gradient to cream
- green : 5 value gradient to cream
- yellow : 5 value gradient to cream
- purple : 5 value gradient to cream
- grayscale : 5 value gradient white to black
Functions
- gradient : takes two colors and an int n. Returns gradient between colors in n steps.
- divergent : takes two colors and an int n. Returns diverging palette between colors in n steps
More to come as I develop my brand image.
Metadata
Release files for pybeario 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pybeario-0.0.1.tar.gz | 2.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pybeario-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 6.2 kB
Release files / pybeario-0.0.1.tar.gz
| Download URL | pybeario-0.0.1.tar.gz |
|---|---|
| Size | 2.9 kB |
| 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 | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.8.20
|
Release files / pybeario-0.0.1-py3-none-any.whl
| Download URL | pybeario-0.0.1-py3-none-any.whl |
|---|---|
| Size | 3.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
0ebf9e955aecd3d3990c96686d199790675526bc8f48aeb34754af179eb9a2bb
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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/5.1.1 CPython/3.8.20
|