TastyMap

🎨 Color palettes for your palate 😋

Make, customize, and/or use colormaps, any way you like.

📖 Quick start

Try to craft your visual delight interactively with the TastyKitchen UI, hosted here.

tastymap ui

<img width="1455" alt="image" src="https://github.com/user-attachments/assets/902bfc6b-e36c-4d3a-8c30-7c00276d45aa">

Or, start cooking from pre-made colormaps...

from tastymap import cook_tmap

tmap = cook_tmap("viridis", num_colors=12, reverse=True)
tmap

Or start from scratch!

from tastymap import cook_tmap

tmap = cook_tmap(
    ["red", "green", "blue"],
    num_colors=256,
    reverse=True,
    name="rgb",
)
tmap

Then pair it with your plots effortlessly:

import numpy as np
from matplotlib import pyplot as plt
from tastymap import cook_tmap, pair_tbar

fig, ax = plt.subplots()
img = ax.imshow(np.random.random((10, 10)))
tmap = cook_tmap(["red", "green", "blue"], num_colors=256)
pair_tbar(
    img,
    tmap,
    bounds=[0, 0.01, 0.5, 1],
    labels=["zero", "tiny", "half", "one"],
    uniform_spacing=True,
)

Or if you need suggestions, get help from AI by providing a description of what you're imagining:

from tastymap import ai

tmap = ai.suggest_tmap("Pikachu")
tmap

Check out the docs for more recipes!

📦 Installation

To get started on your culinary color journey, install tastymap with:

pip install tastymap

To get access to TastyKitchen UI, install tastymap with:

pip install tastymap[ui]

---

Documentation: <a href="https://ahuang11.github.io/tastymap/">https://ahuang11.github.io/tastymap/</a>

Source Code: <a href="https://github.com/ahuang11/tastymap" target="_blank">https://github.com/ahuang11/tastymap</a>