seaborn heatmap y-axis reverse order
Looks like ax.invert_yaxis() solves it.
Following the example from which you got the figure:
import numpy as np; np.random.seed(0)import seaborn as sns; sns.set()uniform_data = np.random.rand(10, 12)ax = sns.heatmap(uniform_data)ax.invert_yaxis()Gives:
If you are using a 'hex' jointplot() for a heatmap like I was, then you can do this:
import matplotlib.pyplot as pltimport numpyimport seabornx = numpy.arange(10)y = x**2g = seaborn.jointplot(x, y, kind='hex')g.fig.axes[0].invert_yaxis()plt.show()
I found a simpler method to set the axes order, using the options ylim and xlim. In the following examples I plot H, a 2d matrix (NX x NY), changing the axes order:
import matplotlib.pyplot as pltimport seaborn as snsNX=10NY=20H = np.random.rand(NY, NX)sns.heatmap(H, xticklabels=True, yticklabels=True, annot = True)plt.ylim(0,NY)plt.xlim(0,NX)plt.show()
NX=10NY=20H = np.random.rand(NY, NX)sns.heatmap(H, xticklabels=True, yticklabels=True, annot = True)plt.ylim(NY,0)plt.xlim(NX,0)plt.show()