在虹膜数据集中找出均值和标准差并绘制图形

import numpy as np
import matplotlib.pyplot as plt

# 虹膜数据集
iris_data = np.array([[5.1, 3.5, 1.4, 0.2],
                      [4.9, 3.0, 1.4, 0.2],
                      [4.7, 3.2, 1.3, 0.2],
                      ...
                      [6.5, 3.0, 5.2, 2.0],
                      [6.2, 3.4, 5.4, 2.3],
                      [5.9, 3.0, 5.1, 1.8]])

# 计算均值和标准差
mean_values = np.mean(iris_data, axis=0)
std_values = np.std(iris_data, axis=0)

# 绘制图形
features = ['Sepal Length', 'Sepal Width', 'Petal Length', 'Petal Width']
x_pos = np.arange(len(features))

plt.bar(x_pos, mean_values, yerr=std_values, align='center', alpha=0.5)
plt.xticks(x_pos, features)
plt.ylabel('Values')
plt.title('Mean and Standard Deviation of Iris Dataset')

plt.show()