我正在使用Python来解析英国的警察API.我想要的是分析我得到的JSON响应,以计算某次攻击发生的次数.这是API响应的示例.
{
category: "anti-social-behaviour",
location_type: "Force",
location: {
latitude: "53.349920",
street: {
id: 583315,
name: "On or near Evenwood Close"
},
longitude: "-2.657889"
},
context: "",
outcome_status: null,
persistent_id: "",
id: 22687179,
location_subtype: "",
month: "2013-03"
},
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使用此代码
from json import load
from urllib2 import urlopen
import json
url = "http://data.police.uk/api/crimes-street/all-crime?lat=53.396246&lng=-2.646960&date=2013-03"
json_obj = urlopen(url)
player_json_list = load(json_obj)
for player in player_json_list:
crimeCategories = json.dumps(player['category'], indent = 2, separators=(',', ': '))
print crimeCategories
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我收到这样的回复
"anti-social-behaviour"
"anti-social-behaviour"
"anti-social-behaviour"
"anti-social-behaviour"
"drugs"
"drugs"
"burglary"
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如果我将for循环更改为
for player in player_json_list:
crimeCategories = json.dumps(player['category'], indent = 2, separators=(',', ': '))
print crimeCategories.count("drugs")
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然后我得到一个回应
0
0
0
0
1
1
0
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搜索论坛几个小时没有帮助我!有任何想法吗?
Pad*_*ham 14
您可以将collections.Counter dict与请求结合使用,这些请求将成为一些简洁的代码行:
import requests
from collections import Counter
url = "http://data.police.uk/api/crimes-street/all-crime?lat=53.396246&lng=-2.646960&date=2013-03"
json_obj = requests.get(url).json()
c = Counter(player['category'] for player in json_obj)
print(c)
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输出:
Counter({'anti-social-behaviour': 79, 'criminal-damage-arson': 12, 'other-crime': 11, 'violent-crime': 9, 'vehicle-crime': 7, 'other-theft': 6, 'burglary': 4, 'public-disorder-weapons': 3, 'shoplifting': 2, 'drugs': 2})
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如果你喜欢正常的dict,那么只需在Counter dict上调用dict:
from pprint import pprint as pp
c = dict(c)
pp(c)
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{'anti-social-behaviour': 79,
'burglary': 4,
'criminal-damage-arson': 12,
'drugs': 2,
'other-crime': 11,
'other-theft': 6,
'public-disorder-weapons': 3,
'shoplifting': 2,
'vehicle-crime': 7,
'violent-crime': 9}
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然后你只需按键c['drugs']等访问..
或者遍历项目以打印犯罪并以您想要的格式计数:
for k, v in c.items():
print("{} count: {}".format(k, v)
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输出:
drugs count: 2
shoplifting count: 2
other-theft count: 6
anti-social-behaviour count: 79
violent-crime count: 9
criminal-damage-arson count: 12
vehicle-crime count: 7
public-disorder-weapons count: 3
other-crime count: 11
burglary count: 4
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创建一个字典并使用crimeCategories 作为键。对于该值,请使用整数。尝试将这样的东西放入你的循环中。
>>> count['testing'] = count.get('testing',0) + 1
>>> count['testing']
1
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