更改seaborn热图的颜色条上的刻度尺寸

Question

I want to increase the tick label size corresponding to the colorbar in a heatmap plot created using the seaborn module. As an example:

import seaborn as sns
import pandas as pd
import numpy as np

arr = np.random.random((3,3))
df = pd.DataFrame(arr)
ax = sns.heatmap(arr)

Usually I would change the labelsize keyword using the tick_params method on a colorbar axes object, but with the heatmap() function I can only pass kwargs to the colorbar constructor. How can I modify the tick label size for the colorbar in this plot?

Answer 1

Once you call heatmap the colorbar axes will get a reference at the axes attribute of the figure object. So you could either set up the figure ahead of time or get a reference to it after plotting with plt.gcf and then pull the colorbar axes object out that way:

import seaborn as sns
import pandas as pd
import numpy as np

arr = np.random.random((3,3))
df = pd.DataFrame(arr)
ax = sns.heatmap(arr)

cax = plt.gcf().axes[-1]
cax.tick_params(labelsize=20)

Answer 2

A slightly different way that avoids gcf() :

import seaborn as sns
import pandas as pd
import numpy as np

arr = np.random.random((3,3))
df = pd.DataFrame(arr)

fig, ax = plt.subplots()
sns.heatmap(arr, ax=ax)
ax.tick_params(labelsize=20)

I almost always start my plots this way, by explicitly creating a fig and ax object. It's a bit more verbose, but since I tend to forget my matplotlib-foo , I don't get confused with what I'm doing.