Machine Learning, Exploratory Data Analysis.
palette='coolwarm') ax.set_title('dec') plt.show() Output: Multivariate analysis u, g, r, i, z filters # Assuming sdss_df is your DataFrame fig, axes = plt.subplots(nrows=1, ncols=1, figsize=(16, 4)) ax = sns.boxplot(x=sdss_df['class'], y=sdss_df['dec'], palette='coolwarm') ax.set_title('dec')