Putting latitudes and longitudes in a distance matrix, google map api in python

Question

I have a pandas dataframe in the following format: dataframe.

Now I want to put all the Start Latitude and Start Longitude pairs in Origins and put all the End Latitude and End Longitude pairs in destination. I want to get the distance and duration for each line, as shown below. Expected Result:

    Rental Id | Distance | Duration | Status
0   51649420    0          0          OK
1   51649421    959        214        OK
2  
...
15

I tried the following towing methods, but both of them gave me timeout errors.

Method 1:

import googlemaps
from pandas.io.json import json_normalize
gmaps = googlemaps.Client(key='my API key')
for i in range (0,15):
origins = (journeydf['Start Latitude'][i], journeydf['Start Longitude'][i])
destinations = (journeydf['End Latitude'][i], journeydf['End Longitude'][i])
matrix = gmaps.distance_matrix(origins, destinations, mode="bicycling")
matrixdf = json_normalize(matrix,['rows','elements'])
matrixdf['Rental Id']=journeydf['Rental Id']

Method 2:

import urllib, json, time
import pandas as pd

def google(lato, lono, latd, lond):

url = """http://maps.googleapis.com/maps/api/distancematrix/json?origins=%s,%s"""%(lato, lono)+  \
"""&destinations=%s,%s&mode=driving&language=en-EN&sensor=false"""% (latd, lond)

#CHANGE THIS FOR PYTHON 3.X TO urllib.request.urlopen(url)...
response = urllib.urlopen(url).read().decode('utf8')

#Wait a second so you don't overwhelm the API if doing lots of calls
time.sleep(1)

obj = json.loads(response)
try:
    minutes =   obj['rows'][0]['elements'][0]['duration']['value']/60
    miles = (obj['rows'][0]['elements'][0]['distance']['value']/100)*.62137 #kilometers per mile
    return minutes, miles
except IndexError:
    #something went wrong, the result was not found
    print (url)
    #return the error code
    return obj['Status'], obj['Status']

def ApplyGoogle(row):
lato, lono = row['Start Latitude'], row['Start Longitude']
latd, lond = row['End Latitude'], row['End Longitude']
return google(lato, lono, latd, lond)

journeydf['Minutes'], journeydf['Miles'] = zip(*journeydf.apply(ApplyGoogle, axis = 1))

Is there any way to solve this problem? Thanks in advance.

Answer 1

, 1. ?

API Google? (2500 , 100 100 10 ) https://developers.google.com/maps/documentation/distance-matrix/get-api-key , " API-"

for orgins destination. :

# make sure you can connect to Google server
import requests
try:
  response = requests.get('http://www.google.com')
except:
  print 'Can\'t connect to Google\ server'
  raw_input('Press any key to exit.')
  quit()

# use the Google Maps API
import googlemaps
gmaps = googlemaps.Client(key='YOUR KEY')
origins = []
destinations = []
for i in range (0,15):
  origins.append(str(journeydf['Start Latitude'][i]) + ' ' + str(journeydf['Start Longitude'][i]))
  destinations.append(str(journeydf['End Latitude'][i]) + ' ' + str(journeydf['End Longitude'][i]))
matrix = gmaps.distance_matrix(origins, destinations, mode="bicycling")
print matrix

Answer 2

16 * 16 = 256 > 100, , , 10 X 10, .