notebook.community

Edit and run



In [1]:

    
import pathlib
import sys

import numpy as np
import pandas as pd



In [2]:

    
current_directory = pathlib.Path().cwd()
project_directory = current_directory.parents[0]
sys.path.append(str(project_directory.resolve()))



In [3]:

    
import surgeo
surgeo.VERSION









    Out[3]:





'2010.1.1'



In [4]:

    
g = surgeo.GeocodeModel()
s = surgeo.SurnameModel()
sg = surgeo.SurgeoModel()



In [5]:

    
surnames = pd.Series([
    'DIAZ',
    'JOHNSON',
    'WASHINGTON',
])



In [6]:

    
zips = pd.Series([
    '65201',
    '63144',
    '63110',
])



In [7]:

    
s.get_probabilities(surnames)



In [8]:

    
g.get_probabilities(zips)



In [9]:

    
sg.get_probabilities(surnames, zips)

	name	white	black	api	native	multiple	hispanic
0	DIAZ	0.0519	0.0065	0.0119	0.0016	0.0025	0.9256
1	JOHNSON	0.5897	0.3463	0.0054	0.0094	0.0256	0.0236
2	WASHINGTON	0.0517	0.8753	0.0030	0.0068	0.0378	0.0254

	zcta5	white	black	api	native	multiple	hispanic
0	65201	0.815527	0.074888	0.053001	0.002288	0.023209	0.031089
1	63144	0.861114	0.028935	0.062862	0.001248	0.016907	0.028935
2	63110	0.518377	0.401548	0.031772	0.001817	0.024269	0.022217

	zcta5	name	white	black	api	native	multiple	hispanic
0	65201	DIAZ	0.264680	0.015885	0.051868	0.002006	0.011957	0.653604
1	63144	JOHNSON	0.872022	0.089793	0.007666	0.001766	0.024494	0.004259
2	63110	WASHINGTON	0.014138	0.967599	0.000661	0.000571	0.015949	0.001081