How to invert color of seaborn heatmap colorbar

Question

I use an heatmap to visualize a confusion matrix. I like the standard colors, but I would like to have 0s in light orange and highest values in dark purple.

I managed to do so only with another set of colors (light to dark violet), setting:

colormap = sns.cubehelix_palette(as_cmap=True) ax = sns.heatmap(cm_prob, annot=False, fmt=".3f", xticklabels=print_categories, yticklabels=print_categories, vmin=-0.05, cmap=colormap) 

But I want to keep these standard ones. This is my code and the image I get.

ax = sns.heatmap(cm_prob, annot=False, fmt=".3f", xticklabels=print_categories, yticklabels=print_categories, vmin=-0.05) 

Answer 1

The default cmap is sns.cm.rocket. To reverse it set cmap to sns.cm.rocket_r

Using your code:

cmap = sns.cm.rocket_r  ax = sns.heatmap(cm_prob,                  annot=False,                  fmt=".3f",                  xticklabels=print_categories,                  yticklabels=print_categories,                  vmin=-0.05,                  cmap = cmap) 

Answer 2

To expand on Ben's answer, you can do this with most if not any color map.

import matplotlib.pyplot as plt import numpy as np import seaborn as sns X = np.random.random((4, 4)) sns.heatmap(X,cmap="Blues") plt.show() sns.heatmap(X,cmap="Blues_r") plt.show() sns.heatmap(X,cmap="YlGnBu") plt.show() sns.heatmap(X,cmap="YlGnBu_r") plt.show()