Zhang Phil

假设有矩阵：求该矩阵的逆：import numpy as npif __name__ == '__main__': a = np.array([[1, 0, 0], [0, 1, 0], [-5, -5, 1]]) print(np.linalg.inv(a)) A = np.matrix(a) print(A.I)输出：[[ 1. -0. -0.] [ 0. 1. 0.] [ 5. 5. 1.]][[ 1. -0. -..

plotly和经典Matplotlib最大的不同是plotly可以生成交互式的数据图表。Matplotlib生成的图示静态（死）的图，而plotly是活的图，具体方式是plotly可以生成一个html网页，该网页基于js支持数据交互（点击、缩放、拖拽）等等交互操作。事先得用Python命令安装：pip install plotlyPython例子：import plotl...

AI：普通列表数组转化为one-hot编码的numpy数组矩阵import numpy as npimport kerasdef dummy_data(): list1 = [0, 1, 2] list2 = [3, 4, 5, 6] list3 = [7, 8] list4 = [9] list = [] list.append(...

import numpy as npif __name__ == "__main__": a = np.array([1, 2, 3, 4, 5]) b = a.T print(a.dot(b)) print('---') c = np.array([[0, 1, 2, 3], [4, 5, 6, 7]]) print(c) d =...

import numpy as npif __name__ == "__main__": LEN = 6 print('-----') print('a') a = [0, 1, 2, 3, 4, 5] a = np.array(a).reshape(2, 3) print(a) print(a.shape) print(a....