找到2d数组元素的第一元素和第二元素之间的最大和最小差异

时间:2019-04-07 02:07:34

标签: python arrays list max min

我制作了一个函数,该函数将2d个元素的列表(包含带有2个元素的列表)作为参数,并返回其元素差最大的一个(或多个)元素和其元素差最大的一个(或多个)元素是最小的。例如,给定参数([2,8],[3,4],[2,7],[4,10]),该函数将返回:max =([2,8],[4,10 ]),最小值= [3,4]。

我已经创建了一个可以执行此操作的函数,但是代码相当大,没有添加我要填充的列表作为用户输入参数的部分,我也想这样做。

def maxminIntervals(lst):
 mx=lst[0][1]-lst[0][0]
 mn=mx
 count_max=count_min=0

 max=[]
 min=[]
 print(max,min)
 print(mx,mn)
 for element in lst:
    y=element[1]-element[0]
    if y>mx:
        max=[]
        max.append(element)
        count_max=0
        mx=y
    elif y==mx:
        max.append(element)
        mx=y
        count_max+=1
    if y<mn:
        min=[]
        min.append(element)
        count_min=0
        mn=y
    elif y==mn:
        min.append(element)
        mn=y
        count_min+=1
    print(y)
 print("Max=",end='')
 if count_max>0:
        print("(",end=" ")
 for i in max:
    print(i,end=' ')
 if count_max>0:
        print(")",end=" ")
 print("\n")
 print("Min=",end=' ')
 if count_min>0:
        print("(",end=" ")
 for i in min:
    print(i,end=' ')
 if count_min>0:
    print(")",end=" ")

在我看来,代码对于Python来说太大了。是否有一个简单的快捷方式(内置函数等)使它更短?

2 个答案:

答案 0 :(得分:2)

主要思想是跟踪minmax值,但也有单独的列表来跟踪每一对

def maxMinIntervals(lst):
    maximum, minimum = [], []
    max_value, min_value = float('-inf'), float('inf')
    for pair in lst:
        value = abs(pair[1] - pair[0])
        if value > max_value:
            max_value = value
            maximum = []
            maximum.append(pair)
        elif value == max_value:
            maximum.append(pair)
        if value < min_value:
            minimum = []
            minimum.append(pair)
            min_value = value
        elif value == min_value:
            minimum.append(pair)
    return maximum, minimum 

驱动程序

input_list = [[2,8], [3,4], [2,7], [4,10]]
max_ans, min_ans = maxMinIntervals(input_list)
print('maximum results: ', max_ans)
print('minimum results: ', min_ans)

输出

  

('最大结果:',[[2,8],[4,10]])

     

('最小结果:',[[3,4]])

答案 1 :(得分:1)

如果您想保留所有对,如果它是最大/最小,则可以尝试一下(我已在简化的地方发表了评论):

def maxminIntervals(lst):
    max_diff, min_diff = float('-inf'), float('inf')
    max_results, min_results = [], []
    # for loop and unzip pairs to num1, num2
    for num1, num2 in lst:
        # define diff to compare min and max
        diff = num2 - num1
        # append to max_results
        if diff == max_diff:
            max_results.append([num1, num2])
        # update a new max_results
        elif diff > max_diff:
            max_diff = diff
            max_results = [[num1, num2]]

        # append to min_results
        if diff == min_diff:
            min_results.append([num1, num2])
        # update a new min_results
        elif diff < min_diff:
            min_diff = diff
            min_results = [[num1, num2]]
    return max_results, min_results

def test():
    lst = ([2, 8], [3, 4], [2, 7], [4, 10])
    max_results, min_results = maxminIntervals(lst)
    print('max results:', max_results)
    print('min results:', min_results)

输出:

max results: [[2, 8], [4, 10]]
min results: [[3, 4]]

这是一种4行解决方案,更具Python风格,但价格更高:

from collections import defaultdict
from operator import itemgetter

def maxminIntervals2(lst):
    diff_dict = defaultdict(list)
    for pair in lst:
        diff_dict[pair[1] - pair[0]].append(pair)
    return max(diff_dict.items(), key=itemgetter(0))[1], min(diff_dict.items(), key=itemgetter(0))[1]

希望对您有所帮助,如有其他问题,请发表评论。 :)