I want to plot a heatmap with a custom colormap similar to this one, although not exactly.
I\'d like to have a colormap that goes like this
Colormaps are normalized in the 0..1 range. So if your data limits are -1..1, -0.6 would be normalized to 0.2, +0.6 would be normalized to 0.8.
import matplotlib.pyplot as plt
import numpy as np
import matplotlib.colors
norm = matplotlib.colors.Normalize(-1,1)
colors = [[norm(-1.0), "darkblue"],
[norm(-0.6), "lightgrey"],
[norm( 0.6), "lightgrey"],
[norm( 1.0), "red"]]
cmap = matplotlib.colors.LinearSegmentedColormap.from_list("", colors)
fig, ax=plt.subplots()
x = np.arange(10)
y = np.linspace(-1,1,10)
sc = ax.scatter(x,y, c=y, norm=norm, cmap=cmap)
fig.colorbar(sc, orientation="horizontal")
plt.show()