ИАД/lr1/main.py

@@ -1,16 +0,0 @@
-import numpy as np
-from sklearn.datasets import load_iris
-import pandas as pd
-import matplotlib.pyplot as plt
-
-iris = load_iris()
-iris_pd=pd.DataFrame(data=np.c_[iris['data'], iris['target']], columns=iris['feature_names'] + ['target'])
-
-x1 = np.array(iris_pd['sepal length (cm)'])
-x2 = np.array(iris_pd['sepal width (cm)'])
-x3 = np.array(iris_pd['petal length (cm)'])
-x4 = np.array(iris_pd['petal length (cm)'])
-
-plt.boxplot([x1,x2,x3,x4], tick_labels = ['Sepal Length', 'Sepal Width', 'Petal Length', 'Petal Width'])
-#plt.set_ylabel('')
-plt.show()