fig, axes = plt.subplots(1, 2, figsize=(8.8, 3.6)) for name, ax in zip(variable_names, axes): empirical_ccdf(np.asarray(df_gdp1[name]).astype("float64"), ax, add_reg_line=False, label=name) plt.show()