数据分析&数据挖掘数组的通用函数

Posted 2020-11-26 tree0108

 1 import numpy as np
 2 
 3 # 数组的全通用函数，要求数组的形状必须相同——同型数组
 4 # 创建数组
 5 arr1 = np.array([[0, 1], [2, 3]])
 6 arr2 = np.array([[1, 2], [3, 4]])
 7 print("arr1: 
", arr1)
 8 print("arr2: 
", arr2)
 9 
10 # # 四则运算——对应位置进行四则运算
11 print("数组相加: 
", arr1+arr2)
12 print("数组相减: 
", arr1-arr2)
13 print("数组相乘: 
", arr1*arr2)
14 print("数组相乘: 
", np.multiply(arr1, arr2))
15 print("数组相乘: 
", type(np.multiply(np.mat(arr1), np.mat(arr2))))
16 print("数组相除: 
", arr1/arr2) # 0不能做除数
17 print("数组相幂: 
", arr1**arr2)
18 #
19 # # 比较运算——返回bool类型的数组
20 print("arr1 > arr2: 
", arr1 > arr2)
21 print("arr1 < arr2: 
", arr1 < arr2)
22 print("arr1 == arr2: 
", arr1 == arr2)
23 print("arr1 != arr2: 
", arr1 != arr2)
24 #
25 # # 逻辑运算符——or and——返回值是bool值
26 # # or——np.any  只要有一个满足，就返回True
27 # # and——np.all  只有全部为True, 才能返回True
28 print("any: 
", np.any(arr1 == arr2))
29 print("any: 
", np.any(arr1 > arr2))
30 #
31 print("all: 
", np.all(arr1 == arr2))
32 print("all: 
", np.all(arr1 > arr2))