按值排序 JSON答案

【问题标题】：Sorting JSON by value按值排序 JSON
【发布时间】：2019-06-09 01:38:16
【问题描述】：

我正在尝试使用 Python 解析以下学生成绩报告 JSON

{
    "report":[
        {
            "enrollment": "rit2011001",
            "name": "Julia",
            "subject":[
                {
                    "code": "DSA",
                    "grade": "A"
                }
            ]
        },
        {
            "enrollment": "rit2011020",
            "name": "Samantha",
            "subject":[
                {
                    "code": "COM",
                    "grade": "B"
                },
                {
                    "code": "DSA",
                    "grade": "A"
                }
            ]
        }
    ]
}

这样报告应首先按代码升序排列，然后按年级升序排列，然后按入学率升序排列。输出应该是这样的

COM B rit2011020 Samantha
DSA A rit2011001 Julia
DSA A rit2011020 Samantha

这是我需要帮助的不完整代码：

import json

data='''{
    "report":[
        {
            "enrollment": "rit2011001",
            "name": "Julia",
            "subject":[
                {
                    "code": "DSA",
                    "grade": "A"
                }
            ]
        },
        {
            "enrollment": "rit2011020",
            "name": "Samantha",
            "subject":[
                {
                    "code": "COM",
                    "grade": "B"
                },
                {
                    "code": "DSA",
                    "grade": "A"
                }
            ]
        }
    ]
}'''

print data  #for debug
parsed_json = json.loads(data)
print parsed_json #for debug
for key,value in sorted(parsed_json.items()):
    print key,value

我不知道如何应用连续过滤来达到结果。

【问题讨论】：

这对您有帮助吗？ stackoverflow.com/questions/4110665/…
@jmoney 我已经查看了示例并尝试按照它进行操作，但出现错误

标签： python json sorting dictionary python-2.x

【解决方案1】：

尝试使用嵌套循环，使用 print:

import json
data='''{
    "report":[
        {
            "enrollment": "rit2011001",
            "name": "Julia",
            "subject":[
                {
                    "code": "DSA",
                    "grade": "A"
                }
            ]
        },
        {
            "enrollment": "rit2011020",
            "name": "Samantha",
            "subject":[
                {
                    "code": "COM",
                    "grade": "B"
                },
                {
                    "code": "DSA",
                    "grade": "A"
                }
            ]
        }
    ]
}'''
print data  #for debug
parsed_json = json.loads(data)
print parsed_json #for debug
for i in parsed_json['report']:
    for x in i['subject']:
        print x['code'],x['grade'],i['enrollment'],i['name']

输出：

DSA A rit2011001 Julia
COM B rit2011020 Samantha
DSA A rit2011020 Samantha

如果关心帧的顺序：

import json
data='''{
    "report":[
        {
            "enrollment": "rit2011001",
            "name": "Julia",
            "subject":[
                {
                    "code": "DSA",
                    "grade": "A"
                }
            ]
        },
        {
            "enrollment": "rit2011020",
            "name": "Samantha",
            "subject":[
                {
                    "code": "COM",
                    "grade": "B"
                },
                {
                    "code": "DSA",
                    "grade": "A"
                }
            ]
        }
    ]
}'''
print data  #for debug
parsed_json = json.loads(data)
print parsed_json #for debug
l=[]
for i in parsed_json['report']:
    for x in i['subject']:
        l.append(' '.join([x['code'],x['grade'],i['enrollment'],i['name']]))
print('\n'.join(sorted(l)))

【讨论】：

【解决方案2】：

如果您愿意使用非常流行的外部库进行数据分析，那么您可以使用pandas 和json_normalize()，例如：

In []:
from pandas.io.json import json_normalize

df = json_normalize(parsed_json['report'], 'subject', ['enrollment', 'name'])
df.sort_values(['code', 'grade', 'enrollment']).reset_index(drop=True)

Out[]:
  code grade  enrollment      name
0  COM     B  rit2011020  Samantha
1  DSA     A  rit2011001     Julia
2  DSA     A  rit2011020  Samantha

【讨论】：