Given a set of arrays within an array how do I find the arrays with the minimum
values based on two elements/columns in the array? Those two elements/columns
are the destination zip code and distance.
I have an array of arrays that have a origin zip code, origin latitude, origin
longitude, destination zip code, destination latitude, destination longitude,
and miles between the two points.
I need to keep only those combinations that represent the minimum mileage
between to the destination zip code. For example a point in New Jersey may have
a distance from the Philadelphia Office that is 45 miles, from the Newark
Office that is 78 miles and one from the Delaware Office that is 58 miles.
I need to keep the mileage from the Philadelphia Office that is 45 miles and
produce a .csv file that has origin zip code, origin latitude, origin
longitude, destination zip code, destination latitude, destination longitude,
and miles between the two points.
The array looks like this:
[['37015', 'TN31', 36.2777, -87.0046, 'NY', 'White Plains', '10629', 41.119008,
-73.732996, 77.338920003],
['72202', 'ARB1', 34.739224, -92.27765, 'NY', 'White Plains', '10629',
41.119008, -73.732996, 1099.7837975322097]]
My code looks like this :
import csv
import math
def calculate_distance(lat1, lon1, lat2, lon2):
if (not lat1) or (not lon1) or (not lat2) or (not lon2):
return -1
lat1 = float(lat1) * math.pi/180
lon1 = float(lon1) * math.pi/180
lat2 = float(lat2) * math.pi/180
lon2 = float(lon2) * math.pi/180
return 3959.0 * math.acos(math.sin(lat1) * math.sin(lat2) +
math.cos(lat1) * math.cos(lat2) * math.cos(lon2-lon1))
#Above function changed from the following URL: http://iamtgc.com/geocoding-
with-python/
InputPath = "C:\\Users\\jacobs\\Downloads\\ZipCodes\\"
ZipCodes = "zipcode.csv"
RptgOfficeFile = "Reporting_Office_2015072001.csv"
InputFile = InputPath+RptgOfficeFile
zInputFile = InputPath+ZipCodes
zOutputFile = InputPath+'Zip_Code_Distance.csv'
z1OutputFile = InputPath+'Minimum_Distance_Zip_Code_File.csv'
f = open(InputFile, 'r')
zO = open(zOutputFile,'w')
z1 = open(z1OutputFile,'w')
lines = [ ]
OfficeZipcodes = []
ZipRptOffice = {}
OLatitude = [ ]
OLongitude = [ ]
OLocationCode = []
dzip = []
dLatitude = []
dLongitude = []
dCity = []
dState = []
Combined =[]
Answers = []
for line in f:
l = [i.strip() for i in line.split(',')]
OfficeZipcodes.append(l[4])
ZipRptOffice[l[4]]= l[3]
OLatitude.append(l[5])
OLongitude.append(l[6])
OLocationCode.append(l[3])
del OfficeZipcodes[0]
del OLatitude[0]
del OLongitude[0]
del OLocationCode[0]
zf = csv.DictReader(open(zInputFile))
#http://courses.cs.washington.edu/courses/cse140/13wi/csv-parsing.html
for row in zf:
dzip.append(row["zip"])
dLatitude.append(float(row["latitude"]))
dLongitude.append(float(row["longitude"]))
dCity.append(row["city"])
dState.append(row["state"])
for i in range(len(OfficeZipcodes)):
for j in range(len(dzip)):
Distance = calculate_distance(OLatitude[i],
OLongitude[i],dLatitude[j],dLongitude[j])
Combined.append([OfficeZipcodes[i],
OLocationCode[i],float(OLatitude[i]),float(OLongitude[i]),dState[j],dCity[j],dzip[j],
dLatitude[j],dLongitude[j],Distance])
for i in range(len(Combined)):
zO.write(str(Combined[i][0])+","+str(Combined[i][1])+","+str(Combined[i][2])+","+
str(Combined[i][3])+","+str(Combined[i][4])+","+ str(Combined[i][5])+","+
str(Combined[i][6])+","+str(Combined[i][7])+","+
str(Combined[i][8])+","+str(Combined[i][9])+"\n")
zO.close()
f.close()
I am using Python 2.7 on a Windows 7 machine.
Please help me get my head around how to accomplish this task.
Thank you very much.
Robert Davis
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