# Perform the necessary imports
import pandas as pd
from scipy.cluster.hierarchy import fcluster
# Use fcluster to extract labels: labels
labels = fcluster(mergings, ''specify an height'', criterion='distance')
# Create a DataFrame with labels and varieties as columns: df
df = pd.DataFrame({'labels': labels, 'varieties': varieties})
# Create crosstab: ct
ct = pd.crosstab(df['labels'], df['varieties'])
# Display ct
print(ct)