住所から位置情報（緯度経度）を求める．PythonでGeocode 〜Geocoderとpydams〜

Google Colaboratory使用

#Geocoder
https://qiita.com/yoshi_yast/items/bb75d8fceb712f1f49d1
を参照

#pydams
詳細は以下
https://github.com/hottolink/pydams
http://newspat.csis.u-tokyo.ac.jp/geocode/modules/dams/index.php?content_id=2
https://www.hottolink.co.jp/blog/20180823_98734/

##準備

!wget http://newspat.csis.u-tokyo.ac.jp/download/dams-4.3.4.tgz
!tar -xzvf dams-4.3.4.tgz

!git clone https://github.com/hottolink/pydams.git
!patch -d ./dams-4.3.4 -p1 < ./pydams/patch/dams-4.3.4.diff

%cd dams-4.3.4
!./configure; make

!make install
!ldconfig
!ldconfig -v | grep dams

!ldconfig -v | grep dams

!make dic
!make install-dic

%cd ../
![ ! -d 'pydams' ] && git clone https://github.com/hottolink/pydams.git
%cd pydams
!make all
!make install

!pip freeze | grep pydams
#実行結果
#pydams==1.0.4

from pydams import DAMS
from pydams.helpers import pretty_print

DAMS.init_dams()
address = u"東京都港区芝公園４丁目２−８"

# geocode() method
geocoded = DAMS.geocode(address)
pretty_print(geocoded)

# geocode_simplify() method
geocoded = DAMS.geocode_simplify(address)
pretty_print(geocoded)

"""実行結果
score: 5
candidates: 1
	candidate: 0, address level: 7
		address:東京都, lat:35.68949890136719, long:139.69163513183594
		address:港区, lat:35.65850067138672, long:139.75155639648438
		address:芝公園, lat:35.65782928466797, long:139.75172424316406
		address:四丁目, lat:35.65620422363281, long:139.7484588623047
		address:２番, lat:35.658538818359375, long:139.74542236328125
score: 5
candidates: 1
	candidate: 0, address level: 7
		address:東京都港区芝公園四丁目２番, lat:35.658538818359375, long:139.74542236328125
"""

##住所を入力とし，緯度経度を返す関数

def GEOCODE(address):
  DAMS.init_dams()
  # geocode() method
  geocoded = DAMS.geocode_simplify(address)
  res = geocoded['candidates'][0]
  return [res['y'], res['x']]

print(GEOCODE('東京都港区芝公園４丁目２−８'))
#[35.658538818359375, 139.74542236328125]