def getRoute(orig_coord = (-73.990602, 40.731779), dest_coord = (-73.976709, 40.751687)):
global googleApiKey
st_code = 0
sys.stdout.flush()
while st_code is not 200:
#Returns the list of routes Distance in metres and duration in sec (driving?!)
gd = GoogleDirections(googleApiKey)
try:
res = gd.query(str((orig_coord[1], orig_coord[0])), str((dest_coord[1], dest_coord[0])))
except TypeError:
return None
st_code = res.result['Status']['code']
sys.stdout.flush()
routes = res.result['Directions']["Routes"][0]['Steps']
df = pd.DataFrame(routes, columns=['Distance', 'Duration', 'Point', 'polylineIndex'])
df['Distance'] = df['Distance'].apply(lambda x: x['meters'])
df['Duration'] = df['Duration'].apply(lambda x: x['seconds'])
df['Point'] = df['Point'].apply(lambda x: x['coordinates'][:2])
return df
def get_directions(self, source, destination):
steps = []
res = False
# try:
gd = GoogleDirections("ABQIAAAAUbF6J26EmcC_0QgBXb9xvhRoz3DfI4MsQy-vo3oSCnT9jW1JqxQfs5OWnaBY9or_pyEGfvnnRcWEhA")
res = gd.query(source, destination)
# except:
# raise osv.except_osv('Warning!','Please install Google direction package from http://pypi.python.org/pypi/google.directions/0.3 ')
if res:
if res.status != 200:
print "Address not found. Status was: %d" % res.status
return
if "Directions" in res.result:
endPoint = res.result["Directions"]["Routes"][0]["End"]["coordinates"]
result = res.result["Directions"]["Routes"][0]["Steps"]
for i in result:
steps.append(i["Point"]["coordinates"])
steps.append(endPoint)
return steps
def getDirections( self, startPoint, endPoint ):
startX = startPoint.x
startY = startPoint.y
endX = endPoint.x
endY = endPoint.y
gd = GoogleDirections('AIzaSyCUyKgIqRsJcdjrmOHDKJSBgyaBwDvfkbw')
response = gd.query( "{1},{0}".format(startX,startY), "{1},{0}".format(endX,endY) )
status = response.status
if status == 620:
raise Exception('status 604: Google thinks you\'re geocoding too fast')
elif status != 200:
raise Exception( "received status {status}; unable to geocode from:{sY},{sX} to:{eY},{eX}".format(status=status,
sY=startY,sX=startX,
eY=endY,eX=endX)
)
return response.result
def getDirections(self, startPoint, endPoint):
startX = startPoint.x
startY = startPoint.y
endX = endPoint.x
endY = endPoint.y
gd = GoogleDirections('AIzaSyCUyKgIqRsJcdjrmOHDKJSBgyaBwDvfkbw')
response = gd.query("{1},{0}".format(startX, startY),
"{1},{0}".format(endX, endY))
status = response.status
if status == 620:
raise Exception(
'status 604: Google thinks you\'re geocoding too fast')
elif status != 200:
raise Exception(
"received status {status}; unable to geocode from:{sY},{sX} to:{eY},{eX}"
.format(status=status, sY=startY, sX=startX, eY=endY, eX=endX))
return response.result
def get_directions(self, source, destination):
steps = []
res = False
# try:
gd = GoogleDirections(
'ABQIAAAAUbF6J26EmcC_0QgBXb9xvhRoz3DfI4MsQy-vo3oSCnT9jW1JqxQfs5OWnaBY9or_pyEGfvnnRcWEhA'
)
res = gd.query(source, destination)
# except:
# raise osv.except_osv('Warning!','Please install Google direction package from http://pypi.python.org/pypi/google.directions/0.3 ')
if res:
if res.status != 200:
print "Address not found. Status was: %d" % res.status
return
if 'Directions' in res.result:
endPoint = res.result['Directions']['Routes'][0]['End'][
'coordinates']
result = res.result['Directions']['Routes'][0]['Steps']
for i in result:
steps.append(i['Point']['coordinates'])
steps.append(endPoint)
return steps
from google.directions import GoogleDirections
import pandas as pd
from pandas import DataFrame
gd = GoogleDirections('AIzaSyBGrDxPZz6WuOkZXgJSATpvAkjHhhwd_UU')
Villes = ['caen', 'paris', 'marseille', 'lyon', 'lille']
Dist = pd.DataFrame([[0, 0, 0, 0, 0],[0, 0, 0, 0, 0],[0, 0, 0, 0, 0],[0, 0, 0, 0, 0], [0, 0, 0, 0, 0]] ,
index = Villes,
columns = Villes)
for ville1 in Villes:
for ville2 in Villes:
if ville1 != ville2:
res = gd.query(ville1,ville2)
Dist.at[ville1, ville2] = res.distance
else:
Dist.at[ville1, ville2] = 0
print Dist
# -*- coding: utf-8 -*-
"""
Created on Tue Oct 28 08:42:29 2014
@author: christian
"""
import numpy as np
villes = ['caen', 'paris', 'marseille', 'lyon', 'lille']
Matrix = [[]]
from google.directions import GoogleDirections
gd = GoogleDirections('AIzaSyD8De9F85qtHsOl9vP27KHWbmZnnMW6CJ4')
res = gd.query('berlin', 'paris')
i = 0
for ville1 in villes:
for ville2 in villes:
Matrix.append([])
if ville1 != ville2:
res = gd.query(ville1, ville2)
Matrix[i].append(res.distance)
print "Distance ", ville1, ville2, "= ", res.distance
i += 1
print Matrix
"""
Created on Tue Oct 28 08:42:29 2014
@author: christian
"""
import numpy as np
villes = ["caen", "paris", "marseille", "lyon", "lille"]
Matrix = [[]]
from google.directions import GoogleDirections
gd = GoogleDirections("AIzaSyD8De9F85qtHsOl9vP27KHWbmZnnMW6CJ4")
res = gd.query("berlin", "paris")
i = 0
for ville1 in villes:
for ville2 in villes:
Matrix.append([])
if ville1 != ville2:
res = gd.query(ville1, ville2)
Matrix[i].append(res.distance)
print "Distance ", ville1, ville2, "= ", res.distance
i += 1
print Matrix
"""Using the Google directions API"""
# -*- coding: iso-8859-15 -*-
from google.directions import GoogleDirections
gd = GoogleDirections('AIzaSyC7d9cBib4H734ta4lHc0JEQ7LMIdm3njQ')
villes = ['Caen', 'Paris', 'Marseille', 'Lyon', 'Lille']
for v1 in villes:
for v2 in villes:
if v2 not in [v1]:
res = gd.query(v1, v2)
print v1+' to '+v2 + '=' +str(res.distance)
from google.directions import GoogleDirections
import pandas as pd
from pandas import DataFrame
gd = GoogleDirections('AIzaSyBGrDxPZz6WuOkZXgJSATpvAkjHhhwd_UU')
Villes = ['caen', 'paris', 'marseille', 'lyon', 'lille']
Dist = pd.DataFrame([[0, 0, 0, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 0],
[0, 0, 0, 0, 0], [0, 0, 0, 0, 0]],
index=Villes,
columns=Villes)
for ville1 in Villes:
for ville2 in Villes:
if ville1 != ville2:
res = gd.query(ville1, ville2)
Dist.at[ville1, ville2] = res.distance
else:
Dist.at[ville1, ville2] = 0
print Dist
"""Using the Google directions API"""
# -*- coding: iso-8859-15 -*-
from google.directions import GoogleDirections
gd = GoogleDirections('AIzaSyC7d9cBib4H734ta4lHc0JEQ7LMIdm3njQ')
villes = ['Caen', 'Paris', 'Marseille', 'Lyon', 'Lille']
for v1 in villes:
for v2 in villes:
if v2 not in [v1]:
res = gd.query(v1, v2)
print v1 + ' to ' + v2 + '=' + str(res.distance)
# res.distance
#[x for x in my_list if not x.startswith('#')]
#[for a in villes if not a in ['Paris']: print a]
# for a in villes:
# if a not in ['paris']:
# print a