Seaborn clustermap showing less columns that the input dataframe has

Question

When using seaborn clustermap method, the resulting plot has less columns that the input dataframe. Does anyone know when this can happen?

The input data is a 70x64 dataframe ofcounts, filled mostly with 0s. No row or column is ever all 0s As can be seen here: https://pastebin.com/v5D8MRTP

import seaborn as sns
import pandas as pd
import scipy

cluster_df = pd.read_csv("some/path/to.csv)")
 
 # Generate clustering on binary data
 row_clus = scipy.cluster.hierarchy.linkage(np.where(cluster_df > 0, 1, 0), method = "ward")
 col_clus = scipy.cluster.hierarchy.linkage(np.where(cluster_df.transpose() > 0, 1, 0), method = "ward")
 
 # Clustering heatmap
 plot_clus = sns.clustermap(cluster_df, standard_scale = None, 
                row_linkage = row_clus, 
                col_linkage = col_clus)

This results in the following, which I get even if just calling sns.clustermap(cluster_df):