python基础

一、求嵌入式列表中的最大最小值

import numpy as np
sort=[[0.7275261282920837, 0.7496035099029541, 0.5761386156082153, 0.6948978900909424],
      [0.6625462770462036, 0.6829249262809753, 0.6067160367965698, 0.6217343211174011],
      [0.7260892987251282, 0.7354485988616943, 0.7215538024902344, 0.4761347770690918],
      [0.5674500465393066, 0.6440887451171875, 0.5788643956184387, 0.7181151509284973],
      [0.5206774473190308, 0.6888734698295593, 0.43109720945358276, 0.6093053817749023]]
A=np.array(sort)
print(A)
print("最大数的索引是", np.argmax(A))  # 不加axix默认是全部
print("最小数的索引是", np.argmin(A))
print("每一列的最大值索引：", np.argmax(A, axis=0))
print("每一列的最小值索引：", np.argmin(A, axis=0))
print("每一行的最小值索引：", np.argmin(A, axis=1))
print("每一行的最大值索引：", np.argmax(A, axis=1))
#定义一个多维数组
#获得整个数组的最小值
print(A.min())
#获得每列最小值
print(A.min(0))
#获得每行最小值
print(A.min(-1))

运行结果 

[[0.72752613 0.74960351 0.57613862 0.69489789]
 [0.66254628 0.68292493 0.60671604 0.62173432]
 [0.7260893  0.7354486  0.7215538  0.47613478]
 [0.56745005 0.64408875 0.5788644  0.71811515]
 [0.52067745 0.68887347 0.43109721 0.60930538]]
最大数的索引是 1
最小数的索引是 18
每一列的最大值索引： [0 0 2 3]
每一列的最小值索引： [4 3 4 2]
每一行的最小值索引： [2 2 3 0 2]
每一行的最大值索引： [1 1 1 3 1]
0.43109720945358276
[0.52067745 0.64408875 0.43109721 0.47613478]
[0.57613862 0.60671604 0.47613478 0.56745005 0.43109721]

 二、提取txt文件中的数据

def loaddata(filename):
    file = open(filename)
    frame = []
    id = []
    x = []
    y = []
    x2 = []
    y2 = []
    for line in file.readlines():
        line = line.strip(',').split(',')
        frame.append(int(line[0]))
        id.append(str(line[1]))
        x.append(str(line[2]))
        y.append(str(line[3]))
        x2.append(str(line[4]))
        y2.append(str(line[5]))
    file.close()
    return frame, id, x, y, x2, y2
a,b,c,d,e,f=loaddata('result\1\result.txt')
print(a)
print(b)
print(c)
print(d)

运行结果