Python - 使用最大元素索引分配键

给定带有值列表的字典，任务是编写一个Python程序，为每个键分配值列表中最大值的索引。

例子：

Input : test_dict = {“gfg” : [5, 3, 6, 3], “is” : [1, 7, 5, 3], “best” : [9, 1, 3, 5]}

Output : {‘gfg’: 2, ‘is’: 1, ‘best’: 0}

Explanation : Max element in “gfg”‘s value is 6 at 2nd index, hence assigned 2.

Input : test_dict = {“gfg” : [9, 3, 6, 3], “is” : [1, 7, 5, 3], “best” : [9, 1, 3, 5]}

Output : {‘gfg’: 0, ‘is’: 1, ‘best’: 0}

Explanation : Max element in “gfg”‘s value is 9 at 0th index, hence assigned 0.

方法 #1：使用max() + loop + index()

在这里，我们使用 max() 和 index() 从值列表中获取最大元素的索引。循环用于字典中键的迭代任务。

Python3

# Python3 code to demonstrate working of
# Assign keys with Maximum element index
# Using max() + index() + loop
  
# initializing dictionary
test_dict = {"gfg": [5, 3, 6, 3], "is": [1, 7, 5, 3], "best": [9, 1, 3, 5]}
  
# printing original dictionary
print("The original dictionary is : " + str(test_dict))
  
res = dict()
for key in test_dict:
  
    # using index() to get required value
    res[key] = test_dict[key].index(max(test_dict[key]))
  
# printing result
print("The maximum index assigned dictionary : " + str(res))

输出：

The original dictionary is : {‘gfg’: [5, 3, 6, 3], ‘is’: [1, 7, 5, 3], ‘best’: [9, 1, 3, 5]}

The maximum index assigned dictionary : {‘gfg’: 2, ‘is’: 1, ‘best’: 0}

方法 #2：使用字典理解 + max() + index()

在此，我们使用上述方法的字典理解速记变体来执行获取结果的任务。

蟒蛇3

# Python3 code to demonstrate working of
# Assign keys with Maximum element index
# Using dictionary comprehension + max() + index()
  
# initializing dictionary
test_dict = {"gfg": [5, 3, 6, 3], "is": [1, 7, 5, 3], "best": [9, 1, 3, 5]}
  
# printing original dictionary
print("The original dictionary is : " + str(test_dict))
  
# using dictionary comprehension as one liner alternative
res = {key: test_dict[key].index(max(test_dict[key])) for key in test_dict}
  
# printing result
print("The maximum index assigned dictionary : " + str(res))

输出：

The original dictionary is : {‘gfg’: [5, 3, 6, 3], ‘is’: [1, 7, 5, 3], ‘best’: [9, 1, 3, 5]}

The maximum index assigned dictionary : {‘gfg’: 2, ‘is’: 1, ‘best’: 0}