Have you ever wanted to use a colormap like Viridis or Parula, but keep the non-linear perceptual warping of "jet"? You're in luck!
makeitpop warps your data according to the same perceptual delta functions
that have been calculated for a colormap. This means that if the colormap warps
your perception of the data, so will
NOTE: This package is for demonstration only. You shouldn't use Jet precisely because it does not accurately reflect differences in the data it represents. This package applies the same warping, but to the data itself, in the hopes that this illustrates what happens a bit more clearly.
from makeitpop import makeitpop import numpy as np import matplotlib.pyplot as plt # Pop the data! data = np.arange(0, 1, .01) data_more_publishable = makeitpop(data, colormap='jet') fig, ax = plt.subplots() ax.plot(data, data, label="Actual data") ax.plot(data, data_more_publishable, label="Popped data") ax.legend()