# 需要导入模块: import seaborn [as 别名]# 或者: from seaborn importscatterplot[as 别名]def_plot_results_accuracy_comparison(results_df, save_cfg):"""Plot the comparison between the best model and best baseline. """fig, ax = plt.subplots(figsize=(save_cfg['text_width'], save_cfg['text...
Example 2: Scatterplot of PCA Using SeabornWe can also use the seaborn package to create our scatterplot. In order to do that, we can simply use the scatterplot() function by plugging the defined principal components: PC1 and PC2, and add the target label using the hue="label" argument...
In this code, we first import the necessary libraries, Seaborn and Pandas. Then, we load the Iris dataset using thesns.load_dataset()function. This function loads the Iris dataset from the Seaborn library. Next, we create the Scatter Matrix Plot using thesns.pairplot()function. The hue para...