cursor penn state Three a

You want to find out which cities contain park and ride facilities and what percentage of cities have at least one facility.

The CityBoundaries feature class has a field "HasParkAndRide," which is set to "False" by default. Your job is to mark this field
"True" for every city containing at least one park and ride facility within its boundaries.
Your script should also calculate the percentage of cities that have a park and ride facility and print this figure for the user.

import arcpy
from arcpy import env

env.workspace = "path"
featureclass = CityBoundaries
cursor = arcpy.da.SearchCursor

PandR = 0

cityBoundaries = "C:\\Data\\Lesson3PracticeExerciseA\\Washington.gdb\\CityBoundaries"
parkAndRide = "C:\\Data\\Lesson3PracticeExerciseA\\Washington.gdb\\ParkAndRide"
parkAndRideField = "HasParkAndRide"
citiesWithParkAndRide = 0

# Make a feature layer of all the cities polygons
arcpy.MakeFeatureLayer_management(parkAndRide, "ParkAndRideLayer")
 
# Make a feature layer of all the cities polygons   
arcpy.MakeFeatureLayer_management(cityBoundaries, "CitiesLayer")

#Use SelectLayerByLocation with a relationship type of "CONTAINS" to narrow down your cities feature layer list to only the cities
#that contain park and rides.

arcpy.SelectLayerByLocation_management ("CitiesLayer", "CONTAINS", "ParkAndRideLayer")

#Create an update cursor for your now narrowed-down "CitiesLayer" and loop through each record, setting the HasParkAndRide field
#to "True."

selectedcities = arcpy.da.UpdateCursor("CitiesLayer")
with arcpy.da.UpdateCursor("CitiesLayer", (parkAndRideField,)) as cursor:
    row[0] = "True"
    cursor.updateRow(row)
    citiesWithParkAndRide +=1
    
numCities = int(arcpy.GetCount_management(cityBoundaries).getOutput(0))

percentCitiesWithPandR = (citiesWithParkAndRide/numCities) * 100

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