In [1]:

    

%matplotlib inline
from mpl_toolkits.basemap import Basemap
import matplotlib.pyplot as plt
import numpy as np
import os
import pandas as pd

df = pd.read_csv('data/locations.csv')
df.tail()


    

    
Out[1]:







  

    

      

      
Name_Orig
      
Lat_Orig
      
Lng_Orig
      
Name_Des
      
Lat_Des
      
Lng_Des
      
Distance (nm)
      
Distance (mi)
      
Distance (km)
    
  
  

    

      
18
      
Columbus, OH
      
39.961
      
-82.999
      
Dublin, Ireland
      
53.350
      
-6.260
      
3110.3
      
3579.3
      
5760.3
    
    

      
19
      
Columbus, OH
      
39.961
      
-82.999
      
Oakland, CA
      
37.804
      
-122.271
      
0.0
      
0.0
      
0.0
    
    

      
20
      
Oakland, CA
      
37.804
      
-122.271
      
Paso Robles, CA
      
35.637
      
-120.655
      
0.0
      
0.0
      
0.0
    
    

      
21
      
Paso Robles, CA
      
35.637
      
-120.655
      
Palm Springs, CA
      
33.842
      
-116.538
      
0.0
      
0.0
      
0.0
    
    

      
22
      
Paso Robles, CA
      
35.637
      
-120.655
      
Monterey, CA
      
36.600
      
-121.895
      
83.5
      
96.0
      
154.6
    
  

In [2]:

    

# Basemap parameter options here: http://matplotlib.org/basemap/api/basemap_api.html

lat_0 = 0
lon_0 = 0
llcrnrlat = 20
llcrnrlon = -140
urcrnrlat = 65
urcrnrlon = 20

fig=plt.figure()
m = Basemap(projection='merc', 
            lat_0=lat_0, lon_0=lon_0, lat_ts=20, area_thresh=500,
            llcrnrlon=llcrnrlon,llcrnrlat=llcrnrlat,urcrnrlon=urcrnrlon,urcrnrlat=urcrnrlat,
            resolution='l')

m.drawmapboundary(fill_color='#FFFFFF')
m.fillcontinents(color='#B1B2B4',lake_color='#FFFFFF',zorder=0)

m.drawcoastlines(linewidth=0.25, zorder=8)
m.drawstates(linewidth=0.25, color='#A8A8A8', zorder=6)
m.drawcountries(linewidth=0.25, color='#707070', zorder=7)

lat_orig = 35.639255
lng_orig = -120.713308
lat_des  = 39.961
lng_des  = -82.999

for row in range(0,df.shape[0]): 
    lat_orig = df.iloc[row,1]
    lng_orig = df.iloc[row,2]
    lat_des  = df.iloc[row,4]
    lng_des  = df.iloc[row,5]
    m.drawgreatcircle(lon1=lng_orig, lat1=lat_orig, lon2=lng_des, lat2=lat_des,
                      linewidth=.5,color='#2E5FAC', zorder=9)
    x, y = m(lng_orig,lat_orig)
    m.scatter(x,y,2,marker='.',edgecolors='#CF5300',c='#CF5300', zorder=10)
    x, y = m(lng_des,lat_des)
    m.scatter(x,y,2,marker='.',edgecolors='#CF5300',c='#CF5300', zorder=10)

plt.show()
fig.savefig('2017_travel.png', dpi=1000, bbox_inches='tight')


    

    




/Users/mkudija/anaconda/lib/python3.5/site-packages/mpl_toolkits/basemap/__init__.py:1767: MatplotlibDeprecationWarning: The get_axis_bgcolor function was deprecated in version 2.0. Use get_facecolor instead.
  axisbgc = ax.get_axis_bgcolor()
/Users/mkudija/anaconda/lib/python3.5/site-packages/mpl_toolkits/basemap/__init__.py:3260: MatplotlibDeprecationWarning: The ishold function was deprecated in version 2.0.
  b = ax.ishold()
/Users/mkudija/anaconda/lib/python3.5/site-packages/mpl_toolkits/basemap/__init__.py:3269: MatplotlibDeprecationWarning: axes.hold is deprecated.
    See the API Changes document (http://matplotlib.org/api/api_changes.html)
    for more details.
  ax.hold(b)
/Users/mkudija/anaconda/lib/python3.5/site-packages/mpl_toolkits/basemap/__init__.py:3222: MatplotlibDeprecationWarning: The ishold function was deprecated in version 2.0.
  b = ax.ishold()
/Users/mkudija/anaconda/lib/python3.5/site-packages/mpl_toolkits/basemap/__init__.py:3231: MatplotlibDeprecationWarning: axes.hold is deprecated.
    See the API Changes document (http://matplotlib.org/api/api_changes.html)
    for more details.
  ax.hold(b)






    

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