PythonMerge详解

一、安装PythonMerge

1、PythonMerge是用于Python中合并字典、列表等数据类型的工具。

2、可以使用pip install python-merge进行安装。

    pip install python-merge

3、在代码中导入PythonMerge

    import python_merge

二、合并字典

1、合并两个字典

使用PythonMerge可以方便地合并两个字典。

    import python_merge
    
    dict1 = {"name": "Lucy", "age": 22}
    dict2 = {"gender": "female", "city": "Beijing"}
    
    merged_dict = python_merge.merge(dict1, dict2)
    
    print(merged_dict)

执行结果为：

    {"name": "Lucy", "age": 22, "gender": "female", "city": "Beijing"}

2、合并多个字典

PythonMerge也支持合并多个字典。

    import python_merge
    
    dict1 = {"name": "Lucy", "age": 22}
    dict2 = {"gender": "female", "city": "Beijing"}
    dict3 = {"phone": "13333333333", "address": "No. 1, Road 1"}
    
    merged_dict = python_merge.merge(dict1, dict2, dict3)
    
    print(merged_dict)

执行结果为：

    {"name": "Lucy", "age": 22, "gender": "female", "city": "Beijing", "phone": "13333333333", "address": "No. 1, Road 1"}

三、合并列表

1、合并两个列表

PythonMerge也支持合并两个列表。

    import python_merge
    
    list1 = [1, 2, 3]
    list2 = [4, 5, 6]
    
    merged_list = python_merge.merge(list1, list2)
    
    print(merged_list)

执行结果为：

    [1, 2, 3, 4, 5, 6]

2、合并多个列表

PythonMerge也支持合并多个列表。

    import python_merge
    
    list1 = [1, 2, 3]
    list2 = [4, 5, 6]
    list3 = [7, 8, 9]
    
    merged_list = python_merge.merge(list1, list2, list3)
    
    print(merged_list)

执行结果为：

    [1, 2, 3, 4, 5, 6, 7, 8, 9]

四、合并嵌套字典

PythonMerge还支持合并嵌套字典。

    import python_merge
    
    dict1 = {
        "id": 1,
        "name": "Lucy",
        "contacts": {
            "phone": "13333333333",
            "email": "lucy@example.com"
        }
    }
    dict2 = {
        "gender": "female",
        "contacts": {
            "phone": "14444444444",
            "address": "No. 1, Road 1"
        }
    }
    
    merged_dict = python_merge.merge(dict1, dict2)
    
    print(merged_dict)

执行结果为：

    {
        "id": 1,
        "name": "Lucy",
        "gender": "female",
        "contacts": {
            "phone": "14444444444",
            "email": "lucy@example.com",
            "address": "No. 1, Road 1"
        }
    }

五、合并嵌套列表

PythonMerge还支持合并嵌套列表。

    import python_merge
    
    list1 = [1, 2, {"name": "Lucy", "age": 22}]
    list2 = [3, {"gender": "female"}, 4]
    
    merged_list = python_merge.merge(list1, list2)
    
    print(merged_list)

执行结果为：

    [1, 2, {"name": "Lucy", "age": 22}, 3, {"gender": "female"}, 4]

六、默认合并策略

对于同一键的不同值，PythonMerge采用默认合并策略。

    import python_merge
    
    dict1 = {"name": "Lucy", "age": 22, "contacts": {"phone": "13333333333", "email": "lucy@example.com"}}
    dict2 = {"name": "Lucy", "age": 23, "contacts": {"phone": "14444444444", "address": "No. 1, Road 1"}}
    
    merged_dict = python_merge.merge(dict1, dict2)
    
    print(merged_dict)

执行结果为：

    {"name": "Lucy", "age": 23, "contacts": {"phone": "14444444444", "email": "lucy@example.com", "address": "No. 1, Road 1"}}

七、覆盖合并策略

可以指定"overwrite"为True，采用覆盖合并策略。

    import python_merge
    
    dict1 = {"name": "Lucy", "age": 22, "contacts": {"phone": "13333333333", "email": "lucy@example.com"}}
    dict2 = {"name": "Lucy", "age": 23, "contacts": {"phone": "14444444444", "address": "No. 1, Road 1"}}
    
    merged_dict = python_merge.merge(dict1, dict2, merge_strategy="overwrite")
    
    print(merged_dict)

执行结果为：

    {"name": "Lucy", "age": 23, "contacts": {"phone": "14444444444", "address": "No. 1, Road 1"}}