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Python - 删除列表中的重复字典

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发布于 2023-08-11 07:29:18

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Python 是一个非常广泛使用的平台，用于 Web 开发、数据科学、机器学习以及自动化执行不同的过程。我们可以将数据存储在python中，以不同的数据类型，例如列表，字典，数据集。python字典中的数据和信息可以根据我们的选择进行编辑和更改

下面的文章将提供有关删除列表中重复词典的不同方法的信息。直接选择重复词典的选项不可用，因此我们将不得不使用 python 的不同方法和功能来删除词典。

删除重复词典的各种方法

列表理解

由于我们无法直接比较列表中的不同词典，因此我们将不得不将它们转换为其他形式，以便我们可以比较存在的不同词典。通过以下示例，我们可以更好地理解它：

例

def all_duplicate(whole_dict):       same = set()   #We check all the dictionaries with the help of same set created     return [dict(tuple(sorted(dupl.items()))) for dupl in whole_dict if tuple(sorted(dupl.items())) not in same and not same.add(tuple(sorted(dupl.items())))]  #We will convert each dictionary into tuple so that the dictionary having the same value will be removed and the duplicate dictionary can be found easily, if the tuple has a different value then the dictionary will be kept.  # Example  Whole_Dictionary = [     {"Place": "Haldwani", "State": 'Uttrakhand'},     {"Place": "Hisar", "State": 'Haryana'},     {"Place": "Shillong", "State": 'Meghalaya'},     {"Place": "Kochi", "State": 'Kerala'},     {"Place": "Bhopal", "State": 'Madhya Pradesh'},     {"Place": "Kochi", "State": 'Kerala'},   #This Dictionary is repeating which is to be removed     {"Place": "Haridwar", "State": 'Uttarakhand'} ] Final_Dict = all_duplicate(Whole_Dictionary) print(Final_Dict)   #The output after removing the duplicate dictionary will be shown

输出

上面示例的输出如下所示：

[{'Place': 'Haldwani', 'State': 'Uttrakhand'}, {'Place': 'Hisar', 'State': 'Haryana'}, {'Place': 'Shillong', 'State': 'Meghalaya'}, {'Place': 'Kochi', 'State': 'Kerala'}, {'Place': 'Bhopal', 'State': 'Madhya Pradesh'}, {'Place': 'Haridwar', 'State': 'Uttarakhand'}]

熊猫图书馆

此方法仅在具有许多不同元素的大量数据集的情况下使用，也就是说，仅适用于具有复杂数据的字典。我们可以通过下面的例子来理解熊猫库的使用：

例

import pandas as ps   #Do not forget to import pandas or error might occur #Convert the dictionaries into panda frame def all_duplicate(data):     dd = ps.DataFrame(data)     dd.drop_duplicates(inplace=True)   #Drop_duplicates() method will remove all the duplicate dictionaries     return dd.to_dict(orient='records')  #Converting dictionaries back into list of dictionaries from panda frame # Example  Whole_Dictionary = [     {"Place": "Haldwani", "State": 'Uttrakhand'},     {"Place": "Hisar", "State": 'Haryana'},     {"Place": "Shillong", "State": 'Meghalaya'},     {"Place": "Kochi", "State": 'Kerala'},     {"Place": "Bhopal", "State": 'Madhya Pradesh'},     {"Place": "Kochi", "State": 'Kerala'},   #This Dictionary is repeating which is to be removed     {"Place": "Haridwar", "State": 'Uttarakhand'} ] Final_Dict = all_duplicate(Whole_Dictionary) print(Final_Dict)   #The output after removing the duplicate dictionary will be shown

输出

[{'Place': 'Haldwani', 'State': 'Uttrakhand'}, {'Place': 'Hisar', 'State': 'Haryana'}, {'Place': 'Shillong', 'State': 'Meghalaya'}, {'Place': 'Kochi', 'State': 'Kerala'}, {'Place': 'Bhopal', 'State': 'Madhya Pradesh'}, {'Place': 'Haridwar', 'State': 'Uttarakhand'}]

冰雪奇缘词典

使用冻结词典的想法是解决词典不可散列性的一种技术。冻结字典可以用作另一个字典中的键或集合中的元素，因为它本质上是字典的不可变形式。冻结词典库提供了冻结词典的便捷实现。通过以下示例，我们可以更好地理解它：

例

def make_hashable(d):     return hash(frozenset(d.items())) # We will convert the dictionary key values into frozen set and then pass it to hash function def all_duplicate(dicts):     seen = set()  #It will check for similarities in the list     return [d for d in dicts if not (make_hashable(d) in seen or seen.add(make_hashable(d)))] #If similarity will be found it will be removed and if not then the data will be kept # Example  Whole_Dictionary = [     {"Place": "Haldwani", "State": 'Uttrakhand'},     {"Place": "Hisar", "State": 'Haryana'},     {"Place": "Shillong", "State": 'Meghalaya'},     {"Place": "Kochi", "State": 'Kerala'},     {"Place": "Bhopal", "State": 'Madhya Pradesh'},     {"Place": "Kochi", "State": 'Kerala'},   #This Dictionary is repeating which is to be removed     {"Place": "Haridwar", "State": 'Uttarakhand'} ] Final_Dict = all_duplicate(Whole_Dictionary) print(Final_Dict)   #The output after removing the duplicate dictionary will be shown

输出

[{'Place': 'Haldwani', 'State': 'Uttrakhand'}, {'Place': 'Hisar', 'State': 'Haryana'}, {'Place': 'Shillong', 'State': 'Meghalaya'}, {'Place': 'Kochi', 'State': 'Kerala'}, {'Place': 'Bhopal', 'State': 'Madhya Pradesh'}, {'Place': 'Haridwar', 'State': 'Uttarakhand'}

辅助函数

这是一种从词典列表中删除重复词典的复杂方法。通过使用帮助程序函数，在此过程中，每个字典都转换为其内容的排序元组。然后使用此辅助功能从字典列表中找到重复的元组并将其删除。通过以下示例，我们可以更好地理解它：

例

def sorted_dict_to_tuple(d):  # sorted_dicts_to_tuple takes the dictionary as input and sorts it into tuple     return tuple(sorted(d.items())) def all_duplicates(dicts):  # The all_duplicates function will check all the elements in the dictionary and keep track of any repeating element     seen = set()      return [d for d in dicts if not (sorted_dict_to_tuple(d) in seen or seen.add(sorted_dict_to_tuple(d)))] # Example  Whole_Dictionary = [     {"Place": "Haldwani", "State": 'Uttrakhand'},     {"Place": "Hisar", "State": 'Haryana'},     {"Place": "Shillong", "State": 'Meghalaya'},     {"Place": "Kochi", "State": 'Kerala'},     {"Place": "Bhopal", "State": 'Madhya Pradesh'},     {"Place": "Kochi", "State": 'Kerala'},   #This Dictionary is repeating which is to be removed     {"Place": "Haridwar", "State": 'Uttarakhand'} ] Final_Dict = all_duplicates(Whole_Dictionary) print(Final_Dict)   #The output after removing the duplicate dictionary will be shown

输出

[{'Place': 'Haldwani', 'State': 'Uttrakhand'}, {'Place': 'Hisar', 'State': 'Haryana'}, {'Place': 'Shillong', 'State': 'Meghalaya'}, {'Place': 'Kochi', 'State': 'Kerala'}, {'Place': 'Bhopal', 'State': 'Madhya Pradesh'}, {'Place': 'Haridwar', 'State': 'Uttarakhand'}]