使用 Python 从 JSON 中删除值为 NaN 的对象?
Remove object from JSON whose values are NaN using Python?
我的最终输出JSON文件格式如下
[
{
"Type": "UPDATE",
"resource": {
"site ": "Lakeside mh041",
"name": "Total Flow",
"unit": "CubicMeters",
"device": "2160 LaserFlow Module",
"data": [
{
"timestamp": [
"1087009200"
],
"value": [
6945.68
]
},
{
"timestamp": [
"1087095600"
],
"value": [
NaN
]
},
{
"timestamp": [
"1087182000"
],
"value": [
7091.62
]
},
如果 "value" 是 NaN,我想删除整个对象。
预期输出
[
{
"Type": "UPDATE",
"resource": {
"site ": "Lakeside mh041",
"name": "Total Flow",
"unit": "CubicMeters",
"device": "2160 LaserFlow Module",
"data": [
{
"timestamp": [
"1087009200"
],
"value": [
6945.68
]
},
{
"timestamp": [
"1087182000"
],
"value": [
7091.62
]
},
由于文件格式的原因,我无法从我的 csv 文件中删除空白值。
我试过这个:
with open('Result.json' , 'r') as j:
json_dict = json.loads(j.read())
json_dict['data'] = [item for item in json_dict['data'] if
len([val for val in item['value'] if isnan(val)]) == 0]
print(json_dict)
错误 - json_dict['data'] = [item for item in json_dict['data'] if len([val for val in item['value'] 如果 isnan(val)]) == 0]
类型错误:列表索引必须是整数或切片,而不是 str
要测试值是否为 NaN
,您可以使用 math.isnan()
函数 (doc):
data = '''{"data": [
{
"timestamp": [
"1058367600"
],
"value": [
9.65
]
},
{
"timestamp": [
"1058368500"
],
"value": [
NaN
]
},
{
"timestamp": [
"1058367600"
],
"value": [
4.75
]
}
]}'''
import json
from math import isnan
data = json.loads(data)
data['data'] = [i for i in data['data'] if not isnan(i['value'][0])]
print(json.dumps(data, indent=4))
打印:
{
"data": [
{
"timestamp": [
"1058367600"
],
"value": [
9.65
]
},
{
"timestamp": [
"1058367600"
],
"value": [
4.75
]
}
]
}
如果 json"value": [...]
有多个值
那么,
import json
from math import isnan
json_str = '''
[
{
"Type": "UPDATE",
"resource": {
"site ": "Lakeside mh041",
"name": "Total Flow",
"unit": "CubicMeters",
"device": "2160 LaserFlow Module",
"data": [
{
"timestamp": [
"1087009200"
],
"value": [
6945.68
]
},
{
"timestamp": [
"1087095600"
],
"value": [
NaN
]
}
]
}
}
]
'''
json_dict = json.loads(json_str)
for typeObj in json_dict:
resource_node = typeObj['resource']
resource_node['data'] = [
item for item in resource_node['data']
if len([val for val in item['value'] if isnan(val)]) == 0
]
print(json_dict)
我的最终输出JSON文件格式如下
[
{
"Type": "UPDATE",
"resource": {
"site ": "Lakeside mh041",
"name": "Total Flow",
"unit": "CubicMeters",
"device": "2160 LaserFlow Module",
"data": [
{
"timestamp": [
"1087009200"
],
"value": [
6945.68
]
},
{
"timestamp": [
"1087095600"
],
"value": [
NaN
]
},
{
"timestamp": [
"1087182000"
],
"value": [
7091.62
]
},
如果 "value" 是 NaN,我想删除整个对象。
预期输出
[
{
"Type": "UPDATE",
"resource": {
"site ": "Lakeside mh041",
"name": "Total Flow",
"unit": "CubicMeters",
"device": "2160 LaserFlow Module",
"data": [
{
"timestamp": [
"1087009200"
],
"value": [
6945.68
]
},
{
"timestamp": [
"1087182000"
],
"value": [
7091.62
]
},
由于文件格式的原因,我无法从我的 csv 文件中删除空白值。
我试过这个:
with open('Result.json' , 'r') as j:
json_dict = json.loads(j.read())
json_dict['data'] = [item for item in json_dict['data'] if
len([val for val in item['value'] if isnan(val)]) == 0]
print(json_dict)
错误 - json_dict['data'] = [item for item in json_dict['data'] if len([val for val in item['value'] 如果 isnan(val)]) == 0] 类型错误:列表索引必须是整数或切片,而不是 str
要测试值是否为 NaN
,您可以使用 math.isnan()
函数 (doc):
data = '''{"data": [
{
"timestamp": [
"1058367600"
],
"value": [
9.65
]
},
{
"timestamp": [
"1058368500"
],
"value": [
NaN
]
},
{
"timestamp": [
"1058367600"
],
"value": [
4.75
]
}
]}'''
import json
from math import isnan
data = json.loads(data)
data['data'] = [i for i in data['data'] if not isnan(i['value'][0])]
print(json.dumps(data, indent=4))
打印:
{
"data": [
{
"timestamp": [
"1058367600"
],
"value": [
9.65
]
},
{
"timestamp": [
"1058367600"
],
"value": [
4.75
]
}
]
}
如果 json"value": [...]
有多个值
那么,
import json
from math import isnan
json_str = '''
[
{
"Type": "UPDATE",
"resource": {
"site ": "Lakeside mh041",
"name": "Total Flow",
"unit": "CubicMeters",
"device": "2160 LaserFlow Module",
"data": [
{
"timestamp": [
"1087009200"
],
"value": [
6945.68
]
},
{
"timestamp": [
"1087095600"
],
"value": [
NaN
]
}
]
}
}
]
'''
json_dict = json.loads(json_str)
for typeObj in json_dict:
resource_node = typeObj['resource']
resource_node['data'] = [
item for item in resource_node['data']
if len([val for val in item['value'] if isnan(val)]) == 0
]
print(json_dict)