import pandas as pd import numpy as np import matplotlib.pyplot as plt %matplotlib inline
import warnings warnings.filterwarnings('ignore') from sklearn.datasets import load_iris import seaborn as sns

步骤 0：数据收集

data = load_iris() df = pd.DataFrame(data.data, columns=data.feature_names) df['target'] = data.target

4. 创建柱状图 (bar)

plt.figure(figsize=(10, 6)) sns.countplot(x='target', data=df, palette=['red', 'green', 'blue']) plt.title('Distribution of Target') plt.xlabel('Target') plt.ylabel('Count')

5. 绘制箱线图 (boxplot)

plt.figure(figsize=(8, 6)) sns.boxplot(x='target', y='petal length (cm)', data=df) plt.title('Box Plot of Petal Length by Target') plt.xlabel('Target') plt.ylabel('Petal Length (cm)')

plt.show()