[英]Python - Add multiple values in dictionary / json value
I'm building a python
application which receives REST response in below format:我正在构建一个
python
应用程序,它以以下格式接收 REST 响应:
[
{
'metric': 'pass_status',
'history': [
{
'date': '2019-02-20T10:26:52+0000',
'value': 'OK'
},
{
'date': '2019-03-13T11:37:39+0000',
'value': 'FAIL'
},
{
'date': '2019-03-13T12:00:57+0000',
'value': 'OK'
}
]
},
{
'metric': 'bugs',
'history': [
{
'date': '2019-02-20T10:26:52+0000',
'value': '1'
},
{
'date': '2019-03-13T11:37:39+0000',
'value': '6'
},
{
'date': '2019-03-13T12:00:57+0000',
'value': '2'
}
]
},
{
'metric': 'code_smells',
'history': [
{
'date': '2019-02-20T10:26:52+0000',
'value': '0'
},
{
'date': '2019-03-13T11:37:39+0000',
'value': '1'
},
{
'date': '2019-03-13T12:00:57+0000',
'value': '2'
}
]
}
]
You can see dates are same within for each metric.您可以看到每个指标的日期都相同。 I want to collate this data date-wise, ie my result
json/dictionary
should look like:我想按日期整理此数据,即我的结果
json/dictionary
应如下所示:
[
'2019-02-20T10:26:52+0000' : {
'pass_status' : 'OK',
'bugs' : '1',
'code_smells' : '0'
},
'2019-03-13T11:37:39+0000' : {
'pass_status' : 'FAIL',
'bugs' : '6',
'code_smells' : '1'
},
'2019-03-13T11:37:39+0000' : {
'pass_status' : 'OK',
'bugs' : '2',
'code_smells' : '2'
}
]
What will be the suggested approach to do this?建议的方法是什么?
Thanks谢谢
I tried some itertools.groupby
magic, but it turned into a mess...我尝试了一些
itertools.groupby
魔法,但它变成了一团糟......
maybe iteration + defaultdict
is just keeping it simple...也许迭代 +
defaultdict
只是保持简单......
like this:像这样:
from collections import defaultdict
result = defaultdict(dict)
for metric_dict in data:
metric_name = metric_dict['metric']
for entry in metric_dict['history']:
result[entry['date']][metric_name] = entry['value']
print(dict(result))
or a full example with the data:或包含数据的完整示例:
data = [
{
'metric': 'pass_status',
'history': [
{
'date': '2019-02-20T10:26:52+0000',
'value': 'OK'
},
{
'date': '2019-03-13T11:37:39+0000',
'value': 'FAIL'
},
{
'date': '2019-03-13T12:00:57+0000',
'value': 'OK'
}
]
},
{
'metric': 'bugs',
'history': [
{
'date': '2019-02-20T10:26:52+0000',
'value': '1'
},
{
'date': '2019-03-13T11:37:39+0000',
'value': '6'
},
{
'date': '2019-03-13T12:00:57+0000',
'value': '2'
}
]
},
{
'metric': 'code_smells',
'history': [
{
'date': '2019-02-20T10:26:52+0000',
'value': '0'
},
{
'date': '2019-03-13T11:37:39+0000',
'value': '1'
},
{
'date': '2019-03-13T12:00:57+0000',
'value': '2'
}
]
}
]
from collections import defaultdict
result = defaultdict(dict)
for metric_dict in data:
metric_name = metric_dict['metric']
for entry in metric_dict['history']:
result[entry['date']][metric_name] = entry['value']
print(result)
声明:本站的技术帖子网页,遵循CC BY-SA 4.0协议,如果您需要转载,请注明本站网址或者原文地址。任何问题请咨询:yoyou2525@163.com.