I'm plotting a heatmap in Seaborn. The problem is that I have too many squares in my plot so the x and y labels are too close to each other to be useful. So I'm creating a list of xticks and yticks to use. However passing this list to the function rotates the labels in the plot. It would be really nice to have seaborn automatically drop some of the ticks, but barring that I would like to be able to have the yticks upright.
import pandas as pd
import numpy as np
import seaborn as sns
data = pd.DataFrame(np.random.normal(size=40*40).reshape(40,40))
yticks = data.index
keptticks = yticks[::int(len(yticks)/10)]
yticks = ['' for y in yticks]
yticks[::int(len(yticks)/10)] = keptticks
xticks = data.columns
keptticks = xticks[::int(len(xticks)/10)]
xticks = ['' for y in xticks]
xticks[::int(len(xticks)/10)] = keptticks
sns.heatmap(data,linewidth=0,yticklabels=yticks,xticklabels=xticks)
seaborn
uses matplotlib
internally, as such you can use matplotlib
functions to modify your plots. I've modified the code below to use the plt.yticks
function to set rotation=0
which fixes the issue.
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
data = pd.DataFrame(np.random.normal(size=40*40).reshape(40,40))
yticks = data.index
keptticks = yticks[::int(len(yticks)/10)]
yticks = ['' for y in yticks]
yticks[::int(len(yticks)/10)] = keptticks
xticks = data.columns
keptticks = xticks[::int(len(xticks)/10)]
xticks = ['' for y in xticks]
xticks[::int(len(xticks)/10)] = keptticks
sns.heatmap(data,linewidth=0,yticklabels=yticks,xticklabels=xticks)
# This sets the yticks "upright" with 0, as opposed to sideways with 90.
plt.yticks(rotation=0)
plt.show()