[TOC] # 乘法 要注意维度要一样,也就是shape值要一样,不然会报错 ~~~ import numpy as np x = np.array([5, 5]) y = np.array([2, 2]) # 对应位置相乘 print(np.multiply(x, y)) # 乘积后求和5*2 + 5*2 print(np.dot(x, y)) ~~~ 输出 ~~~ [10 10] 20 ~~~ `*`号乘法 ~~~ import numpy as np x = np.array([1, 1, 1]) y = np.array([[1, 2, 3], [4, 5, 6]]) print(x * y) ~~~ 输出 ~~~ [[1 2 3] [4 5 6]] ~~~ 发现维度不一样还是能乘的,因为numpy自动做了扩充,一般情况下还是不要这样 # 比较 ~~~ import numpy as np x = np.array([1, 1, 1]) y = np.array([1, 2, 1]) print(x == y) ~~~ 输出 ~~~ [ True False True] ~~~ 注意维度不一样会报错 # 与,或,非 ~~~ import numpy as np x = np.array([1, 1, 1]) y = np.array([1, 2, 1]) # 对每个值进行与操作 logical_and = np.logical_and(x, y) print(logical_and) # 或操作 logical_or = np.logical_or(x, y) print(logical_or) logical_not = np.logical_not(x, y) print(logical_not) ~~~ 输出 ~~~ [ True True True] [ True True True] [0 0 0] ~~~