如何在多维列表的列中打印最大值？

Question

如何在此列表的每一列中找到最大数量请知道如何进行行最大数量，但我不理解列部分

import random as rd
multlst = [[x for x in range(1,5+1)] for y in range(1,5+1)]
def create():
    for i in range(len(multlst)):
        for j in range(len(multlst[i])):
            multlst[i][j]= rd.randint(-100,100)

return multlst


def row():
    for i in range(0,len(multlst)):
        maxnum = max(multlst[i])
        print("The maximum value in row %s is %s"%(i,maxnum))


def col():
## how do I find the maximum value in columns of the list


 def main():

    create()
    print('\n'.join([''.join(['{:4}'.format(item) for item in row]) 
  for row in multlst]))
    row()
    col()


main()

Answer 1

由于您的多维列表似乎是一个矩阵，因此最好使用numpy和numpy.max()。

例如：

import numpy as np
# will return a list of the maximum in each column
np.max(your_array, axis=0)
# will return a list of the maximum in each row
np.max(your_array, axis=1)

或者，如果您想继续使用标准库，可以在max调用中使用生成器方法，并在每个后续行中询问相同索引的值。例如：

for col_idx in range(number_of_columns):
    maximum = max(multlst[row_idx][col_idx] for row_idx in range(number_of_rows))
    print("The maximum value in column %s is %s"%(col_idx,maximum))

或简化：

for col_idx in range(number_of_columns):
    maximum = max(row[col_idx] for row in multlst)
    print("The maximum value in column %s is %s"%(col_idx, maximum))