本文整理汇总了Python中omgeo.places.Candidate.confidence方法的典型用法代码示例。如果您正苦于以下问题：Python Candidate.confidence方法的具体用法？Python Candidate.confidence怎么用？Python Candidate.confidence使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类omgeo.places.Candidate的用法示例。
在下文中一共展示了Candidate.confidence方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: _geocode
# 需要导入模块: from omgeo.places import Candidate [as 别名]
# 或者: from omgeo.places.Candidate import confidence [as 别名]
def _geocode(self, pq):
if pq.query.strip() == '':
# No single line query string; use address elements:
query = {'addressLine':pq.address,
'locality':pq.city,
'adminDistrict':pq.state,
'postalCode':pq.postal,
'countryRegion':pq.country}
else:
query = {'query':pq.query}
if pq.viewbox is not None:
query = dict(query, **{'umv':pq.viewbox.to_bing_str()})
if hasattr(pq, 'culture'): query = dict(query, c=pq.culture)
if hasattr(pq, 'user_ip'): query = dict(query, uip=pq.user_ip)
if hasattr(pq, 'user_lat') and hasattr(pq, 'user_lon'):
query = dict(query, **{'ul':'%f,%f' % (pq.user_lat, pq.user_lon)})
addl_settings = {'key':self._settings['api_key']}
query = dict(query, **addl_settings)
response_obj = self._get_json_obj(self._endpoint, query)
returned_candidates = [] # this will be the list returned
for r in response_obj['resourceSets'][0]['resources']:
c = Candidate()
c.entity = r['entityType']
c.locator = r['geocodePoints'][0]['calculationMethod'] # ex. "Parcel"
c.confidence = r['confidence'] # High|Medium|Low
c.match_addr = r['name'] # ex. "1 Microsoft Way, Redmond, WA 98052"
c.x = r['geocodePoints'][0]['coordinates'][1] # long, ex. -122.13
c.y = r['geocodePoints'][0]['coordinates'][0] # lat, ex. 47.64
c.wkid = 4326
c.geoservice = self.__class__.__name__
returned_candidates.append(c)
return returned_candidates示例2: _geocode
# 需要导入模块: from omgeo.places import Candidate [as 别名]
# 或者: from omgeo.places.Candidate import confidence [as 别名]
def _geocode(self, pq):
def get_appended_location(location, **kwargs):
"""Add key/value pair to given dict only if value is not empty string."""
for kw in kwargs:
if kwargs[kw] != '':
location = dict(location, **{kw: kwargs[kw]})
return location
if pq.address.strip() != '':
location = {}
location = get_appended_location(location, street=pq.query)
if location == {}:
location = get_appended_location(location, street=pq.address)
location = get_appended_location(location, city=pq.city, county=pq.subregion, state=pq.state,
postalCode=pq.postal, country=pq.country)
json_ = dict(location=location)
json_ = json.dumps(json_)
query = dict(key=unquote(self._settings['api_key']),
json=json_)
else:
query = dict(key=unquote(self._settings['api_key']),
location=pq.query)
if pq.viewbox is not None:
query = dict(query, viewbox=pq.viewbox.to_mapquest_str())
response_obj = self._get_json_obj(self._endpoint, query)
returned_candidates = [] # this will be the list returned
for r in response_obj['results'][0]['locations']:
c = Candidate()
c.locator=r['geocodeQuality']
c.confidence=r['geocodeQualityCode'] #http://www.mapquestapi.com/geocoding/geocodequality.html
match_addr_elements = ['street', 'adminArea5', 'adminArea3',
'adminArea2', 'postalCode'] # similar to ESRI
c.match_addr = ', '.join([r[k] for k in match_addr_elements if k in r])
c.x = r['latLng']['lng']
c.y = r['latLng']['lat']
c.wkid = 4326
c.geoservice = self.__class__.__name__
returned_candidates.append(c)
return returned_candidates