class_docstr: Do not use this class explicitly.
  
  Instead you should construct its objects with special functions:
  `geocode()`, `geocode_cities()`, `geocode_counties()`, `geocode_states()`,
  `geocode_countries()`, `reverse_geocode()`.
class_docstr_tok: ["Do","not","use","this","class","explicitly",".","Instead","you","should","construct","its","objects","with","special","functions",":","`","geocode","(",")","`",",","`","geocode_cities","(",")","`",",","`","geocode_counties","(",")","`",",","`","geocode_states","(",")","`",",","`","geocode_countries","(",")","`",",","`","reverse_geocode","(",")","`","."]
docstr: Remove objects that have multiple matches from the result.
  
  Returns
  -------
  `NamesGeocoder`
      Geocoder object specification.
  
  Examples
  --------
  .. jupyter-execute::
      :linenos:
      :emphasize-lines: 6
  
      from IPython.display import display
      from lets_plot import *
      from lets_plot.geo_data import *
      LetsPlot.setup_html()
      cities = geocode_cities(['Boston', 'Worcester', 'Barnstable'])\
               .ignore_all_errors().get_centroids()
      display(cities)
      ggplot() + geom_livemap() + geom_point(data=cities, color='red', size=5)
docstr_tok: ["Remove","objects","that","have","multiple","matches","from","the","result",".","Returns","--","--","--","-","`","NamesGeocoder","`","Geocoder","object","specification",".","Examples","--","--","--","--","..","jupyter-execute",":",":",":","linenos",":",":","emphasize-lines",":","6","from","IPython.display","import","display","from","lets_plot","import","*","from","lets_plot.geo_data","import","*","LetsPlot.setup_html","(",")","cities","=","geocode_cities","(","[","'Boston","'",",","'Worcester","'",",","'Barnstable","'","]",")","\\",".ignore_all_errors","(",")",".get_centroids","(",")","display","(","cities",")","ggplot","(",")","+","geom_livemap","(",")","+","geom_point","(","data=cities",",","color='red","'",",","size=5",")"]
code: def ignore_all_errors(self) -> "NamesGeocoder":
      """
          Remove objects that have multiple matches from the result.
  
          Returns
          -------
          `NamesGeocoder`
              Geocoder object specification.
  
          Examples
          --------
          .. jupyter-execute::
              :linenos:
              :emphasize-lines: 6
  
              from IPython.display import display
              from lets_plot import *
              from lets_plot.geo_data import *
              LetsPlot.setup_html()
              cities = geocode_cities(['Boston', 'Worcester', 'Barnstable'])\\
                       .ignore_all_errors().get_centroids()
              display(cities)
              ggplot() + geom_livemap() + geom_point(data=cities, color='red', size=5)
  
          """
      self._reset_geocodes()
      self._default_ambiguity_resolver = AmbiguityResolver(
          IgnoringStrategyKind.skip_all
      )
      return self
  
imports: from collections import namedtuple
  from collections.abc import Iterable
  from typing import Union, List, Optional, Dict
  from pandas import Series
  from .geocodes import _to_level_kind, request_types, Geocodes, _raise_exception, _ensure_is_list
  from .gis.geocoding_service import GeocodingService
  from .gis.geometry import GeoRect, GeoPoint
  from .gis.request import RequestBuilder, GeocodingRequest, RequestKind, MapRegion, AmbiguityResolver, RegionQuery, LevelKind, IgnoringStrategyKind, PayloadKind, ReverseGeocodingRequest
  from .gis.response import Response, SuccessResponse
  from .type_assertion import assert_list_type
label_desc: Use image node_id 8 for calling the NamesGeocoder obj's underlying member method code with example usage: obj.ignore_all_errors() and returns: self