来自python中现有dict列表的dict列表

时间:2016-03-30 15:51:30

标签: python python-3.x

我是Python的新手,想知道以下问题的某种解决方案。

original_list = [{'Table':'A', 'Column':'C1','Data_Type':'int','Column_Style':None, 'others':'O1'},
                 {'Table':'A', 'Column':'C2', 'Data_Type':'varchar','Column_Style': '20','others':'O2'},
                 {'Table':'A', 'Column':'C2', 'Data_Type':'numeric','Column_Style': '10,2','others':'O3'}
               ]

我想返回一个字典列表,其中密钥位于['Table', 'Data_Type', 'Column']Data_Type的值是Data_TypeColumn_Style的连接值。

# expecting output like below
new_list = [{'Table':'A', 'Column':'C1', 'Data_Type':'int'},
            {'Table':'A', 'Column':'C2', 'Data_Type':'varchar(20)'},
            {'Table':'A', 'Column':'C2', 'Data_Type':'numeric(10,2)'}
           ]

2 个答案:

答案 0 :(得分:1)

new_list = []
for innerDict in original_list:
    newDict = {}
    for key in innerDict:
        if key not in ['Data_Type', 'Column_Style', 'others']:
            newDict[key] = innerDict[key]
        elif key == 'Data_Type':
            if innerDict['Column_Style']:
                newDict['Data_Type'] = innerDict['Data_Type'] + '(' + innerDict['Column_Style'] + ')'
            else:
                newDict['Data_Type'] = innerDict['Data_Type']
    new_list.append(newDict)

new_list将包含您请求的输出,假设original_list是您在上面提供的输入列表。

答案 1 :(得分:1)

实际上你可以使用生成器函数来生成符合你的原始dict列表

中每个元素标准的dict
def gen_dict(ori_dict_list):
    columns = ['Table', 'Data_Type', 'Column']
    for element in ori_dict_list:
        d = {}
        for field in columns:
            if field == 'Data_Type':
                if element['Column_Style'] is None:
                    d['Data_Type'] = element['Data_Type']
                else:
                    d['Data_Type'] = "{}({})".format(element['Data_Type'], element["Column_Style"])
            else:
                d[field] = element[field]
        yield d

演示:

>>> from pprint import pprint # Just to pretty print nothing special
>>> pprint(list(gen_dict(original_list)))
[{'Column': 'C1', 'Data_Type': 'int', 'Table': 'A'},
 {'Column': 'C2', 'Data_Type': 'varchar(20)', 'Table': 'A'},
 {'Column': 'C2', 'Data_Type': 'numeric(10,2)', 'Table': 'A'}]