Prompt:

"Write Python code to identify numerical columns with bimodal distributions and generate density plots for each."

Output:

Python script + density plots for identified columns.

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

Example dataset

df = pd.DataFrame({ 'A': [1, 2, 2, 3, 4, 4, 5, 5, 6, 7], 'B': [1, 2, 3, 4, 5, 6, 7, 8, 9, 10], 'C': [1, 1, 1, 10, 10, 10, 20, 20, 20, 30] })

for col in df.select_dtypes(include='number').columns: sns.kdeplot(df[col], fill=True, label=col) plt.title(f'Density Plot for {col}') plt.show()