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

Answer 1

Did you try to invert the colormap?

sns.cubehelix_palette(as_cmap=True, reverse=True)

Answer 2

we can now quickly achieve reverse color just by putting _r in the end.

For example: for viridis => viridis_r

sns.heatmap(corr_matrix, annot=True, cmap='viridis_r');

Answer 3

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 4

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()