机器学习基础-numpy

一、相关知识点

二、例子：

import matplotlib.pyplot as plt
import numpy as npplt.rcParams['font.sans-serif'] = ['KaiTi']  # 使用黑体
plt.rcParams['axes.unicode_minus'] = False  # 解决负号显示问题math = np.random.randint(low=60,high=100,size=50)
english = np.random.randint(low=60,high=100,size=50)
physics = np.random.randint(low=60,high=100,size=50)score = np.array([math,english,physics])
mean_arr = np.mean(score,axis=1)
print(mean_arr)labels = ["math","english","physics"]
plt.bar(labels,height = mean_arr,color=['red',"green","blue"])
plt.xlabel("科目")
plt.ylabel("平均成绩")
plt.title("学生考试成绩分析",fontsize=20)plt.show()