makeitpop

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 makeitpop!

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()

Outputs: