palettetown 1.0.1

Style plots with Pokemon colors

Palletetown is a python library that makes it easy to style matplotlib plots using a color palettes based on pokemon.

You can use palletetown to:

• set global matplotlib settings based on a pokemon,
• set a colormap for a pokemon,
• set a color cycler for a pokemon,
• draw a pokemon sprite,
• get RGB color values from the sprite.

Check out the examples.ipynb jupyter notebook for examples.

The pokeplot module handles high-level user interactions. Check out the jupyter notebook on our homepage for examples, or try these pokeplot features with your own plots.

import matplotlib.pyplot as plt
import numpy as np
import palletetown.pokeplot as pkp

# Get a colormap with colors set based on the pokemon sprite
cmap = pkp.get_cmap('pikachu')

# Use it with whatever plot you are working on.
data = np.random.random((10,10))
plt.imshow(data, cmap=cmap)

# Draw a pikachu sprite in the top right corner.
pkp.draw_sprite()

plt.show()

# The default colormap can be set.
pkp.set_rc('pikachu')

Pokemon and Pokedex objects can be manipulated directly for advanced use cases. A Pokemon object contains color data related to that pokemon. Pokedex objects are dictionary-like containers for Pokemon objects.

pikachu = pkp.get_pokemon('pikachu')
# matplotlib linear segmented colormap
cmap = pikachu.cmap
# color cycler
cycler = pikachu.cycler
# image of the pokemon as an ndarray
sprite = pikachu.sprite
# list of rgb colors as 8 bit integers
colors_int = pikachu.rgb_int
# list of rgb colors as floats normalized from 0. to 1.
colors_float = pikachu.rgb_float
# list of rgb colors as hex strings
colors_hex = pikachu.rgb_hex