Python Numpy Tutorials： 数组中数学函数及变形（reshape）

# -*- coding: utf-8 -*-"""Python Version: 3.5Created on Thu May 11 17:00:47 2017E-mail: [e-mail]@author: DidiLv"""# 数学的函数import numpy as npx = np.array([[1,2],[3,4]])# 计算所有的数组值print(np.sum(x))# 计算矩阵的列  print(np.sum(x, axis=0))  # 计算矩阵的行print(np.sum(x, axis=1))  # python还是跟matlab有关的，是按列排序的。# 当然可以有更多的延伸，都是数学的其他函数#  https://docs.scipy.org/doc/numpy/reference/routines.math.htmlx = np.array([[1,2], [3,4]])print(x)    # 输出    "[[1 2]           #          [3 4]]"print(x.T)  # 输出   "[[1 3]           #          [2 4]]"# Note that taking the transpose of a rank 1 array does nothing:v = np.array([1,2,3])print(v)    # 输出 "[1 2 3]"print(v.T)  # 输出 "[1 2 3]" 数组还是数组没有列的概念啊！# 更多的延伸，类似reshape之类的，可以详情看以下链接# https://docs.scipy.org/doc/numpy/reference/routines.array-manipulation.html