plt.tight_layout() with sns.clustermap

Question

Seaborns clustermap doesn't work with plt.tight_layout().

import seaborn as sns
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt

np.random.seed(98)
df = pd.DataFrame(np.random.rand(10,10))
cm = sns.clustermap(df)

plt.tight_layout()
plt.show()

gives the following error ValueError: max() arg is an empty sequence. I've also used sns.heatmap() with the exact same data set and this gave no errors. Is there a work around? Note: The actual labels I'm using are a lot longer than the ones in this example but the codes too long to show. Thanks for any help!

Answer 1

I got this error when I placed the plt.tight_layout() before the plt.plot() and plt.xlabel() I just had to move it to the last command before plt.show() and it worked.

Answer 2

Another part of the error is the message:

This figure includes Axes that are not compatible with tight_layout, so its results might be incorrect.

I don't think tight_layout works with clustermap. However, from the sns.clustermap documentation, it says that:

The returned object has a savefig method that should be used if you want to save the figure object without clipping the dendrograms.

So, in your example, you could use cm.savefig('myfigure.png'), which seems to perform similar actions to tight_layout.