#Open the files using 'with' to make sure they close no matter what, assign the files to the variables csvinput, csvoutput
with open('Georgetown_Import.ods_GT_Matrix.csv',
'r') as csvinput, open('GT_MapBox_Import2.csv', 'w') as csvoutput:
#Create a dictionary reader to iterate through the rows of the input file, accessing by names in 1st row
reader = csv.DictReader(csvinput)
#Create a dictionary writer for the output file, with mapboxHeaders as the ordered list of keys
writer = csv.DictWriter(csvoutput,
mapboxHeaders,
quoting=csv.QUOTE_MINIMAL)
#Write mapboxHeaders as the 1st row of the output file
writer.writeheader()
#Create a geocoder to geocode locations in Georgetown, Seattle, WA
geocoder = myCoder(format_string="%s, Seattle WA")
#Iterate through rows of input file, and write a line to the output file for each one
for row in reader:
#Get the title string
title = row['Title']
#Only look at rows with nonempty Title field
if title != "":
#Create the description string from the desired columns of input file
description = ""
for header in descriptionHeaders:
if row[header] != "":
description += "<h2>%s</h2>\n<p>%s</p>\n" % (header,
row[header])
#Add two blank lines, then a list of the studies for the current item
descriptionHeaders = ['Goal', 'Status', 'Progress Detail', 'Challenges and barriers', 'Next Steps']
#The names of the studies
studyNames = ["1977 Neighborhood Plan","1995 Needs Assessment","1998 Neighborhood Plan","2007 Bicycle Master Plan","2007 Airport Way Visioning","2008 Duwamish Visioning"]
#Open the files using 'with' to make sure they close no matter what, assign the files to the variables csvinput, csvoutput
with open('Georgetown_Import.ods_GT_Matrix.csv', 'r') as csvinput, open('GT_MapBox_Import2.csv', 'w') as csvoutput:
#Create a dictionary reader to iterate through the rows of the input file, accessing by names in 1st row
reader = csv.DictReader(csvinput)
#Create a dictionary writer for the output file, with mapboxHeaders as the ordered list of keys
writer = csv.DictWriter(csvoutput, mapboxHeaders, quoting=csv.QUOTE_MINIMAL)
#Write mapboxHeaders as the 1st row of the output file
writer.writeheader()
#Create a geocoder to geocode locations in Georgetown, Seattle, WA
geocoder = myCoder(format_string="%s, Seattle WA")
#Iterate through rows of input file, and write a line to the output file for each one
for row in reader:
#Get the title string
title = row['Title']
#Only look at rows with nonempty Title field
if title != "":
#Create the description string from the desired columns of input file
description = ""
for header in descriptionHeaders:
if row[header] != "":
description += "<h2>%s</h2>\n<p>%s</p>\n" % (header, row[header])
#Add two blank lines, then a list of the studies for the current item
description += "<br><br>\n<h4>Study:</h4>\n<p>"
def splitting(targetCategory, short):
#Open the files using 'with' to make sure they close no matter what, assign the files to the variables csvinput, csvoutput
with open('Georgetown_Import.ods_GT_Matrix.csv', 'r') as csvinput, open(
short + 'Comp.csv', 'w') as Compcsvoutput, open(
short + 'Prog.csv',
'w') as Progcsvoutput, open(short + 'Dead.csv',
'w') as Deadcsvoutput:
#Create a dictionary reader to iterate through the rows of the input file, accessing by names in 1st row
reader = csv.DictReader(csvinput)
#Create a dictionary writer for the output files, with mapboxHeaders as the ordered list of keys
writerComp = csv.DictWriter(Compcsvoutput,
mapboxHeaders,
quoting=csv.QUOTE_MINIMAL)
writerProg = csv.DictWriter(Progcsvoutput,
mapboxHeaders,
quoting=csv.QUOTE_MINIMAL)
writerDead = csv.DictWriter(Deadcsvoutput,
mapboxHeaders,
quoting=csv.QUOTE_MINIMAL)
#Write mapboxHeaders as the 1st row of the output files
writerComp.writeheader()
writerProg.writeheader()
writerDead.writeheader()
#Create a geocoder to geocode locations in Georgetown, Seattle, WA
geocoder = myCoder(format_string="%s, Seattle WA")
#Iterate through rows of input file, and write a line to the output file for each one
for row in reader:
#Get the title string
title = row['Title']
#Only look at rows with nonempty Title field
if title != "" and row['Category'] == targetCategory:
#Create the description string from the desired columns of input file
description = ""
for header in descriptionHeaders:
if row[header] != "":
description += "<h2>%s</h2>\n<p>%s</p>\n" % (
header, row[header])
#Add two blank lines, then a list of the studies for the current item
description += "<br><br>\n<h4>Study:</h4>\n<p>"
for study in studyNames:
#If the column for the current study is marked, add it to the description
if row[study] != "":
description += study + ", "
#This if statement should always execute as long as every row has at least one study,
#in which case the above for loop added an extra ", " at the end, which we need to remove:
#If the last two characters of the description are ", " then remove them.
if description[-2:] == ", ":
description = description[:-2]
#Close the <p> tag for the studies, and add the contents of the 'Category' column to the description
description += "</p>\n<h5>Category:</h5>\n<p>" + row[
'Category'] + "</p>\n"
#Print for testing:
print title
print description
#Geocode the location from the 'Location' column -- increase timeout to 10s to avoid GeocoderTimedOut exception
location = geocoder.geocode(row['Location'], timeout=10)
#Get the latitude and longitude if a valid location was found (i.e. location != None),
#and otherwise set the values to 0.
(lat, lon) = (location.latitude,
location.longitude) if location else (
0, 0) #(47.55,-122.33)
#Print for testing:
print row['Location'] + ": (%f, %f)\n" % (lat, lon)
#Using a dictionary writer ensures that the row contents are matched to the correct columns, even if headers are rearranged
#Sorting the data for values in 'Progress' column
if row['Progress'] == 'Complete':
writerComp.writerow({
'Title': title,
'Description': description,
'Lat': lat,
'Long': lon
})
elif row['Progress'] == 'In Progress':
writerProg.writerow({
'Title': title,
'Description': description,
'Lat': lat,
'Long': lon
})
elif row['Progress'] == 'Dead' or row[
'Progress'] == 'No Progress':
writerDead.writerow({
'Title': title,
'Description': description,
'Lat': lat,
'Long': lon
})
def splitting(targetCategory, short):
#Open the files using 'with' to make sure they close no matter what, assign the files to the variables csvinput, csvoutput
with open('Georgetown_Import.ods_GT_Matrix.csv', 'r') as csvinput, open(short + 'Comp.csv', 'w') as Compcsvoutput, open(short + 'Prog.csv', 'w') as Progcsvoutput, open(short + 'Dead.csv', 'w') as Deadcsvoutput:
#Create a dictionary reader to iterate through the rows of the input file, accessing by names in 1st row
reader = csv.DictReader(csvinput)
#Create a dictionary writer for the output files, with mapboxHeaders as the ordered list of keys
writerComp = csv.DictWriter(Compcsvoutput, mapboxHeaders, quoting=csv.QUOTE_MINIMAL)
writerProg = csv.DictWriter(Progcsvoutput, mapboxHeaders, quoting=csv.QUOTE_MINIMAL)
writerDead = csv.DictWriter(Deadcsvoutput, mapboxHeaders, quoting=csv.QUOTE_MINIMAL)
#Write mapboxHeaders as the 1st row of the output files
writerComp.writeheader()
writerProg.writeheader()
writerDead.writeheader()
#Create a geocoder to geocode locations in Georgetown, Seattle, WA
geocoder = myCoder(format_string="%s, Seattle WA")
#Iterate through rows of input file, and write a line to the output file for each one
for row in reader:
#Get the title string
title = row['Title']
#Only look at rows with nonempty Title field
if title != "" and row['Category']==targetCategory:
#Create the description string from the desired columns of input file
description = ""
for header in descriptionHeaders:
if row[header] != "":
description += "<h2>%s</h2>\n<p>%s</p>\n" % (header, row[header])
#Add two blank lines, then a list of the studies for the current item
description += "<br><br>\n<h4>Study:</h4>\n<p>"
for study in studyNames:
#If the column for the current study is marked, add it to the description
if row[study] != "":
description += study + ", "
#This if statement should always execute as long as every row has at least one study,
#in which case the above for loop added an extra ", " at the end, which we need to remove:
#If the last two characters of the description are ", " then remove them.
if description[-2:] == ", ":
description = description[:-2]
#Close the <p> tag for the studies, and add the contents of the 'Category' column to the description
description += "</p>\n<h5>Category:</h5>\n<p>" + row['Category'] + "</p>\n"
#Print for testing:
print title
print description
#Geocode the location from the 'Location' column -- increase timeout to 10s to avoid GeocoderTimedOut exception
location = geocoder.geocode(row['Location'], timeout=10)
#Get the latitude and longitude if a valid location was found (i.e. location != None),
#and otherwise set the values to 0.
(lat, lon) = (location.latitude, location.longitude) if location else (0, 0) #(47.55,-122.33)
#Print for testing:
print row['Location'] + ": (%f, %f)\n" %(lat, lon)
#Using a dictionary writer ensures that the row contents are matched to the correct columns, even if headers are rearranged
#Sorting the data for values in 'Progress' column
if row['Progress']=='Complete':
writerComp.writerow({'Title':title, 'Description':description, 'Lat':lat, 'Long':lon})
elif row['Progress']=='In Progress':
writerProg.writerow({'Title':title, 'Description':description, 'Lat':lat, 'Long':lon})
elif row['Progress']=='Dead' or row['Progress']=='No Progress':
writerDead.writerow({'Title':title, 'Description':description, 'Lat':lat, 'Long':lon})