Colormaps (cosmoplotian.colormaps)

Colormaps for plotting of cosmological image. This module deals with providing customizable colormaps implemented with matplotlib.colors.LinearSegmentedColormap. The colormaps are implemented individually, rather than being able to choose colors ‘on-the-fly’, as it results in a simpler interface. Once cosmoplotian has been implemented, the colormap names will be available thorugh the cmap keyword argument.

Examples

Divergent colormap

import cosmoplotian
import numpy as np
import matplotlib.pyplot as plt
fig, axes = plt.subplots(figsize=(6, 0.3), dpi=100, sharey=True)
fig.subplots_adjust(
    wspace=0, right=0.99, top=0.99, bottom=0.00, left=0.01, hspace=0.0
)
plt.yticks([])
arr = np.tile(np.arange(1000), 100).reshape(100, 1000)
plt.imshow(arr, cmap='div yel grn')

(Source code, png, hires.png, pdf)

Linear colormap

import cosmoplotian
import numpy as np
import matplotlib.pyplot as plt
fig, axes = plt.subplots(figsize=(6, 0.3), dpi=100, sharey=True)
fig.subplots_adjust(
    wspace=0, right=0.99, top=0.99, bottom=0.00, left=0.01, hspace=0.0
)
plt.yticks([])
arr = np.tile(np.arange(1000), 100).reshape(100, 1000)
plt.imshow(arr, cmap='lin blu')

(Source code, png, hires.png, pdf)