python_numpy_20171031

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Numpy 的一些属性

#!/usr/bin/env python3# -*- coding: utf-8 -*-# @Date    : 2017-10-31 17:20:59# @Author  : leboryi# @What    : test for python.numpy; Numpy 的一些属性import numpy as nparray = np.array([[1,2,3],                [4,5,6]])print(array)print('number of dim:',array.ndim)print('shape:',array.shape)print('size:',array.size)

Numpy 创建 array

#!/usr/bin/env python# -*- coding: utf-8 -*-# @Date    : 2017-10-31 17:39:12# @Author  : leboryi# @What    : test for python.numpy; Numpy 创建 arrayimport numpy as npdef prt(x,y):    print('%s:' % x)    print(y)    print('######################')a = np.array([1,23,4],dtype=np.float)#dtype = np.int,np.float,np.int32,np.float32prt('a.dtype:',a.dtype)a2 = np.array([[1,2,3],               [1,2,3]])prt('a2',a2)a3 = np.zeros((3,4))prt('a3',a3)a4 = np.ones((3,4),dtype=np.int16)prt('a4',a4)a5 = np.empty((3,4))prt('a5',a5)a6 = np.arange(12).reshape((3,4))prt('a6',a6)a7 = np.linspace(1,10,6).reshape((2,3))prt('a7',a7)

Numpy 的基础运算1

#!/usr/bin/env python# -*- coding: utf-8 -*-# @Date    : 2017-10-31 21:19:01# @Author  : leboryi# @What    : Numpy 的基础运算1import numpy as np# a = np.array([10,20,30,40])# b = np.arange(4)# print(a,b)# c = a - b# d = a + b# e = b**2# f = 10*np.sin(a)# print(c,d,e)# print(f)# a = np.array([[1,1],#             [0,1]])# b = np.arange(4).reshape((2,2))# c = a*b# c_dot = np.dot(a,b)# c_dot_2 = a.dot(b)# #矩阵运算# print(c)# print(c_dot)# print(c_dot_2)a = np.random.random((2,4))print(a)print(np.sum(a,axis=1))print(np.min(a,axis=0))print(np.max(a,axis=1))#axis=0,行;axis=1,列

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