LIS590DV Final Project - Group Athena

In [1]:

    

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import csv
from collections import Counter


    

In [2]:

    

%matplotlib inline


    

In [3]:

    

import gmaps
import gmaps.datasets 
gmaps.configure(api_key="AIzaSyBpKgJ8kfC7ixF-oJGZMb49k1knCw6wHyA")


    

In [4]:

    

stops_df = pd.read_csv("GTFS Dataset/stops.csv")


    

In [5]:

    

stops_df.columns


    

    
Out[5]:





Index(['stop_id', 'stop_code', 'stop_name', 'stop_desc', 'stop_lat',
       'stop_lon', 'zone_id', 'stop_url', 'location_type', 'parent_station'],
      dtype='object')

In [6]:

    

locations = stops_df[["stop_lat", "stop_lon"]]


    

In [7]:

    

stops_df.head()


    

    
Out[7]:






  

    

      

      
stop_id
      
stop_code
      
stop_name
      
stop_desc
      
stop_lat
      
stop_lon
      
zone_id
      
stop_url
      
location_type
      
parent_station
    
  
  

    

      
0
      
KBYWSFLD:3
      
MTD4346
      
Kirby & Westfield (South Side)
      
NaN
      
40.098248
      
-88.290173
      
1
      
http://www.cumtd.com/maps-and-schedules/bus-st...
      
0
      
NaN
    
    

      
1
      
PHILOMI:4
      
MTD1026
      
Philo & Michigan (NW Corner)
      
NaN
      
40.101792
      
-88.190865
      
1
      
http://www.cumtd.com/maps-and-schedules/bus-st...
      
0
      
NaN
    
    

      
2
      
DNCNCLKRD:2
      
MTD3333
      
Duncan & Clark (SE Corner)
      
NaN
      
40.117390
      
-88.295470
      
1
      
http://www.cumtd.com/maps-and-schedules/bus-st...
      
0
      
NaN
    
    

      
3
      
TRLSPHILO:1
      
MTD6424
      
Trails & Philo (NE Corner)
      
NaN
      
40.077915
      
-88.190315
      
1
      
http://www.cumtd.com/maps-and-schedules/bus-st...
      
0
      
NaN
    
    

      
4
      
RMNERKA:4
      
MTD4040
      
Romine & Eureka (NW Corner)
      
NaN
      
40.125585
      
-88.227525
      
1
      
http://www.cumtd.com/maps-and-schedules/bus-st...
      
0
      
NaN
    
  

In [8]:

    

plt.rcParams["figure.figsize"] = (12, 12)
stops_layer = gmaps.symbol_layer(locations, fill_color="blue", stroke_color="blue", scale=1)
m = gmaps.Map()
m.add_layer(stops_layer)
m


    

In [ ]: