Solution for Seaborn: reverse cbar
is Given Below:
I have a Dataframe which represents a binary matrix (0 and 1), with labels on rows and columns. I’m using the following code to print the matrix assigning each label a color:
import seaborn as sns import matplotlib.pylab as plt import matplotlib as mpl import pandas as pd import numpy as np N = 100 M = 200 p = 0.8 df = pd.DataFrame(np.random.choice([0,1], (M,N), p=(p, 1-p)), columns=sorted((list(range(10))*N)[0:N]), index=sorted((list(range(10))*N)[0:M])) cmap = mpl.colors.ListedColormap([(.8, .8, .8, 1.0)] + [plt.cm.jet(i) for i in range(plt.cm.jet.N-1)]) ax = sns.heatmap(df.apply(lambda s: (s.name==s.index)*s*(s.index+1)), mask=df.eq(0), cmap=cmap )
My issue is that the colors displayed in the cbar are in the reversed order with respect to those shown in the figure (and so are the labels). How can I reverse the colors and the labels in the cbar?
but it also changes the structure of the plot.
Is there a solution?