Esta no es una pregunta SDE. Archivo GDB.
Tengo una pregunta general sobre el bucle a través de clases de características en una geodatabase de archivos. Tengo (adjunto) un script en python que añade un montón de campos y los calcula. Parece que funciona bien para 2-3 clases de características, pero en el momento en que llega a la 4 ª o 5 ª a menudo se rompe a Error 99999 o un temido error de bloqueo de esquema. Entonces si comento los primeros 2-3 fc's y lo ejecuto sólo para 4 y 5 uno a la vez se ejecuta bien.
¿Hay alguna manera de 'borrar' el bucle al final o debo MakeTableView hacer todo, exportar la tabla, a continuación, Eliminar el TableView? ¿Debería usar entornos también en lugar de usar las rutas largas?
No tengo a mucha gente mirando mi código y no tengo ninguna formación real así que si hay alguna cosa muy muy obvia que estoy haciendo mal por favor hágamelo saber.
import arcpy, time, datetime, csv
from arcpy import env
env.overwriteOutput = True
calcfiles = [
"E:/SpiderOak/projects/streetview/pedestrian_safety/processing/tables/census_joins.gdb/nyc_0250m_census",
"E:/SpiderOak/projects/streetview/pedestrian_safety/processing/tables/census_joins.gdb/nyc_1000m_census",
"E:/SpiderOak/projects/streetview/pedestrian_safety/processing/tables/census_joins.gdb/phi_0250m_census",
"E:/SpiderOak/projects/streetview/pedestrian_safety/processing/tables/census_joins.gdb/phi_1000m_census",
"E:/SpiderOak/projects/streetview/pedestrian_safety/processing/tables/census_joins.gdb/saj_0250m_census",
"E:/SpiderOak/projects/streetview/pedestrian_safety/processing/tables/census_joins.gdb/saj_1000m_census"
]
prefld = ["hkq",
"hk1",
"hkq",
"hk1",
"hkq",
"hk1"
]
print 'Calc Apportioned Census Loop started at this time: ' + time.strftime('%c')
for cfname, prefieldname in zip(calcfiles, prefld):
cenvar = [
"totpop", #'!SET001001!*!pctorgarea!', #Total Population
"sbatot", #'!SET005001!*!pctorgarea!', #Total Population:
"sbamal", #'!SET005002!*!pctorgarea!', #Male:
"sbam05", #'!SET005003!*!pctorgarea!', # Under 5 Years
"sbam09", #'!SET005004!*!pctorgarea!', #5 to 9 Years
"sbam14", #'!SET005005!*!pctorgarea!', #10 to 14 Years
"sbam17", #'!SET005006!*!pctorgarea!', #15 to 17 Years
"sbam24", #'!SET005007!*!pctorgarea!', #18 to 24 Years
"sbam34", #'!SET005008!*!pctorgarea!', #25 to 34 Years
"sbam44", #'!SET005009!*!pctorgarea!', #35 to 44 Years
"sbam54", #'!SET005010!*!pctorgarea!', #45 to 54 Years
"sbam64", #'!SET005011!*!pctorgarea!', #55 to 64 Years
"sbam74", #'!SET005012!*!pctorgarea!', #65 to 74 Years
"sbam84", #'!SET005013!*!pctorgarea!', #75 to 84 Years
"sbamel", #'!SET005014!*!pctorgarea!', #85 Years and over
"sbafem", #'!SET005015!*!pctorgarea!', #Female:
"sbaf05", #'!SET005016!*!pctorgarea!', #Under 5 Years
"sbaf09", #'!SET005017!*!pctorgarea!', #5 to 9 Years
"sbaf14", #'!SET005018!*!pctorgarea!', #10 to 14 Years
"sbaf17", #'!SET005019!*!pctorgarea!', #15 to 17 Years
"sbaf24", #'!SET005020!*!pctorgarea!', #18 to 24 Years
"sbaf34", #'!SET005021!*!pctorgarea!', #25 to 34 Years
"sbaf44", #'!SET005022!*!pctorgarea!', #35 to 44 Years
"sbaf54", #'!SET005023!*!pctorgarea!', #45 to 54 Years
"sbaf64", #'!SET005024!*!pctorgarea!', #55 to 64 Years
"sbaf74", #'!SET005025!*!pctorgarea!', #65 to 74 Years
"sbaf84", #'!SET005026!*!pctorgarea!', #75 to 84 Years
"sbafel", #'!SET005027!*!pctorgarea!', #85 Years and over
"ractot", #'!SET013001!*!pctorgarea!', #Total Population:
"racwht", #'!SET013002!*!pctorgarea!', #White Alone
"racblk", #'!SET013003!*!pctorgarea!', #Black or African American Alone
"racnat", #'!SET013004!*!pctorgarea!', #American Indian and Alaska Native Alone
"racasn", #'!SET013005!*!pctorgarea!', #Asian Alone
"racpac", #'!SET013006!*!pctorgarea!', #Native Hawaiian and Other Pacific Islander Alone
"racotr", #'!SET013007!*!pctorgarea!', #Some Other Race Alone
"ractwo", #'!SET013008!*!pctorgarea!', #Two or More races
"histot", #'!SET014001*!pctorgarea!', #Total Population
"hisnoh", #'!SET014002*!pctorgarea!', #Not Hispanic or Latino:
"hisnwh", #'!SET014003*!pctorgarea!', #White Alone
"hisnbl", #'!SET014004*!pctorgarea!', #Black or African American Alone
"hisnna", #'!SET014005*!pctorgarea!', #American Indian and Alaska Native Alone
"hisnas", #'!SET014006*!pctorgarea!', #Asian Alone
"hisnpa", #'!SET014007*!pctorgarea!', #Native Hawaiian and Other Pacific Islander Alone
"hisntr", #'!SET014008*!pctorgarea!', #Some Other Race Alone
"hisntw", #'!SET014009*!pctorgarea!', #Two or More races
"hisyes", #'!SET014010*!pctorgarea!', #Hispanic or Latino:
"hisywh", #'!SET014011*!pctorgarea!', #White Alone
"hisybl", #'!SET014012*!pctorgarea!', #Black or African American Alone
"hisyna", #'!SET014013*!pctorgarea!', #American Indian and Alaska Native Alone
"hisyas", #'!SET014014*!pctorgarea!', #Asian Alone
"hisypa", #'!SET014015*!pctorgarea!', #Native Hawaiian and Other Pacific Islander Alone
"hisytr", #'!SET014016*!pctorgarea!', #Some Other Race Alone
"hisytw", #!SET014017*!pctorgarea!', #Two or More races
"edutot", #'!SET025001*!pctorgarea!', #Population 25 Years and over:
"edulhs", #'!SET025002*!pctorgarea!', #Less Than High School
"eduhsg", #'!SET025003*!pctorgarea!', #High School Graduate (includes equivalency)
"edusoc", #'!SET025004*!pctorgarea!', #Some college
"edubac", #'!SET025005*!pctorgarea!', #Bachelor's degree
"edumas", #'!SET025006*!pctorgarea!', #Master's degree
"eduprf", #'!SET025007*!pctorgarea!', #Professional school degree
"edudoc", #'!SET025008*!pctorgarea!', #Doctorate degree
"emptot", #'!SET037001*!pctorgarea!', #Civilian Population In Labor Force 16 Years And Over:
"empemp", #'!SET037002*!pctorgarea!', #Employed
"empune", #'!SET037003*!pctorgarea!', #Unemployed
"medhhi", #'!SET057001!', #Median household income (In 2010 Inflation Adjusted Dollars)
"pastot", #'!SET080001*!pctorgarea!', #Households:
"paswit", #'!SET080002*!pctorgarea!', #With public assistance income
"pasnpu", #'!SET080003*!pctorgarea!', #No public assistance income
"housun", #'!SET093001*!pctorgarea!', #Housing units
"tentot", #'!SET094001*!pctorgarea!', #Occupied Housing Units:
"tenown", #'!SET094002*!pctorgarea!', #Owner Occupied
"tenren", #'!SET094003*!pctorgarea!', #Renter Occupied
"occtot", #'!SET095001*!pctorgarea!', #Housing units:
"occocc", #'!SET095002*!pctorgarea!', #Occupied
"occvac", #'!SET095003*!pctorgarea!', #Vacant
"grttot", #'!SET102001*!pctorgarea!', #Renter-occupied housing units with cash rent:
"grtl03", #'!SET102002*!pctorgarea!', #Less than $300
"grtl06", #'!SET102003*!pctorgarea!', #$300 to $599
"grtl08", #'!SET102004*!pctorgarea!', #$600 to $799
"grtl10", #'!SET102005*!pctorgarea!', #$800 to $999
"grtl12", #'!SET102006*!pctorgarea!', #$1,000 to $1,249
"grtl15", #'!SET102007*!pctorgarea!', #$1,250 to $1,499
"grtl20", #'!SET102008*!pctorgarea!', #$1,500 to $1,999
"grta20", #'!SET102009*!pctorgarea!', #$2,000 or More
"rntmed", #'!SET104001!', #Median Gross Rent
"povtot", #'!SET113001!*!pctorgarea!', # Families:
"povpov", #'!SET113002!*!pctorgarea!', # Income in 2010 below poverty level:
"povcwc", #'!SET113003!*!pctorgarea!', # Married Couple Family: With Related Child Living Bellow Poverty Level
"povcnc", #'!SET113004!*!pctorgarea!', # Married Couple Family: No related children under 18 Years
"povmal", #'!SET113005!*!pctorgarea!', # Male Householder, no wife present:
"povmwc", #'!SET113006!*!pctorgarea!', # With related children under 18 Years
"povmnc", #'!SET113007!*!pctorgarea!', # No related children under 18 Years
"povfem", #'!SET113008!*!pctorgarea!', # Female Householder, no husband present:
"povfwc", #'!SET113009!*!pctorgarea!', # With related children under 18 Years
"povnoc", #'!SET113010!*!pctorgarea!', # No related children under 18 Years
"povabv", #'!SET113011!*!pctorgarea!', # Income In 2010 at or above poverty level
"trnw16", #'!SET128001!*!pctorgarea!', # Workers 16 Years and over:
"trncar", #'!SET128002!*!pctorgarea!', # Car, truck, or van
"trntax", #'!SET128003!*!pctorgarea!', # Public transportation (Includes Taxicab)
"trnmot", #'!SET128004!*!pctorgarea!', # Motorcycle
"trnbik", #'!SET128005!*!pctorgarea!', # Bicycle
"trnwlk", #'!SET128006!*!pctorgarea!', # Walked
"trnotr", #'!SET128007!*!pctorgarea!', # Other means
"trnhom", #'!SET128008!*!pctorgarea!', # Worked at home
"timw16", #'!SET129001!*!pctorgarea!', # Workers 16 Years and over:
"timwka", #'!SET129002!*!pctorgarea!', # Did not work at home:
"timu10", #'!SET129003!*!pctorgarea!', # Less than 10 minutes
"timu20", #'!SET129004!*!pctorgarea!', # 10 to 19 minutes
"timu30", #'!SET129005!*!pctorgarea!', # 20 to 29 minutes
"timu40", #'!SET129006!*!pctorgarea!', # 30 to 39 minutes
"timu60", #'!SET129007!*!pctorgarea!', # 40 to 59 minutes
"timu90", #'!SET129008!*!pctorgarea!', # 60 to 89 minutes
"tim90p", #'!SET129009!*!pctorgarea!', # 90 or More minutes
"timhom", #'!SET129010!*!pctorgarea!', # Worked at home
"nattot", #'!SET133001!*!pctorgarea!', # Total Population:
"natnat", #'!SET133002!*!pctorgarea!', # Native Born
"natfor", #'!SET133003!*!pctorgarea!', # Foreign Born:
"natntz", #'!SET133004!*!pctorgarea!', # Naturalized Citizen
"natnoc", #'!SET133005!*!pctorgarea!', # Not a Citizen
"ownocc", #'!SET142001!*!pctorgarea!', # Owner-occupied housing units
]
varexp = [
'!SET001001!*!pctorgarea!', #Total Population
'!SET005001!*!pctorgarea!', #Total Population:
'!SET005002!*!pctorgarea!', #Male:
'!SET005003!*!pctorgarea!', # Under 5 Years
'!SET005004!*!pctorgarea!', #5 to 9 Years
'!SET005005!*!pctorgarea!', #10 to 14 Years
'!SET005006!*!pctorgarea!', #15 to 17 Years
'!SET005007!*!pctorgarea!', #18 to 24 Years
'!SET005008!*!pctorgarea!', #25 to 34 Years
'!SET005009!*!pctorgarea!', #35 to 44 Years
'!SET005010!*!pctorgarea!', #45 to 54 Years
'!SET005011!*!pctorgarea!', #55 to 64 Years
'!SET005012!*!pctorgarea!', #65 to 74 Years
'!SET005013!*!pctorgarea!', #75 to 84 Years
'!SET005014!*!pctorgarea!', #85 Years and over
'!SET005015!*!pctorgarea!', #Female:
'!SET005016!*!pctorgarea!', #Under 5 Years
'!SET005017!*!pctorgarea!', #5 to 9 Years
'!SET005018!*!pctorgarea!', #10 to 14 Years
'!SET005019!*!pctorgarea!', #15 to 17 Years
'!SET005020!*!pctorgarea!', #18 to 24 Years
'!SET005021!*!pctorgarea!', #25 to 34 Years
'!SET005022!*!pctorgarea!', #35 to 44 Years
'!SET005023!*!pctorgarea!', #45 to 54 Years
'!SET005024!*!pctorgarea!', #55 to 64 Years
'!SET005025!*!pctorgarea!', #65 to 74 Years
'!SET005026!*!pctorgarea!', #75 to 84 Years
'!SET005027!*!pctorgarea!', #85 Years and over
'!SET013001!*!pctorgarea!', #Total Population:
'!SET013002!*!pctorgarea!', #White Alone
'!SET013003!*!pctorgarea!', #Black or African American Alone
'!SET013004!*!pctorgarea!', #American Indian and Alaska Native Alone
'!SET013005!*!pctorgarea!', #Asian Alone
'!SET013006!*!pctorgarea!', #Native Hawaiian and Other Pacific Islander Alone
'!SET013007!*!pctorgarea!', #Some Other Race Alone
'!SET013008!*!pctorgarea!', #Two or More races
'!SET014001!*!pctorgarea!', #Total Population
'!SET014002!*!pctorgarea!', #Not Hispanic or Latino:
'!SET014003!*!pctorgarea!', #White Alone
'!SET014004!*!pctorgarea!', #Black or African American Alone
'!SET014005!*!pctorgarea!', #American Indian and Alaska Native Alone
'!SET014006!*!pctorgarea!', #Asian Alone
'!SET014007!*!pctorgarea!', #Native Hawaiian and Other Pacific Islander Alone
'!SET014008!*!pctorgarea!', #Some Other Race Alone
'!SET014009!*!pctorgarea!', #Two or More races
'!SET014010!*!pctorgarea!', #Hispanic or Latino:
'!SET014011!*!pctorgarea!', #White Alone
'!SET014012!*!pctorgarea!', #Black or African American Alone
'!SET014013!*!pctorgarea!', #American Indian and Alaska Native Alone
'!SET014014!*!pctorgarea!', #Asian Alone
'!SET014015!*!pctorgarea!', #Native Hawaiian and Other Pacific Islander Alone
'!SET014016!*!pctorgarea!', #Some Other Race Alone
'!SET014017!*!pctorgarea!', #Two or More races
'!SET025001!*!pctorgarea!', #Population 25 Years and over:
'!SET025002!*!pctorgarea!', #Less Than High School
'!SET025003!*!pctorgarea!', #High School Graduate (includes equivalency)
'!SET025004!*!pctorgarea!', #Some college
'!SET025005!*!pctorgarea!', #Bachelor's degree
'!SET025006!*!pctorgarea!', #Master's degree
'!SET025007!*!pctorgarea!', #Professional school degree
'!SET025008!*!pctorgarea!', #Doctorate degree
'!SET037001!*!pctorgarea!', #Civilian Population In Labor Force 16 Years And Over:
'!SET037002!*!pctorgarea!', #Employed
'!SET037003!*!pctorgarea!', #Unemployed
'!SET057001!', #Median household income (In 2010 Inflation Adjusted Dollars)
'!SET080001!*!pctorgarea!', #Households:
'!SET080002!*!pctorgarea!', #With public assistance income
'!SET080003!*!pctorgarea!', #No public assistance income
'!SET093001!*!pctorgarea!', #Housing units
'!SET094001!*!pctorgarea!', #Occupied Housing Units:
'!SET094002!*!pctorgarea!', #Owner Occupied
'!SET094003!*!pctorgarea!', #Renter Occupied
'!SET095001!*!pctorgarea!', #Housing units:
'!SET095002!*!pctorgarea!', #Occupied
'!SET095003!*!pctorgarea!', #Vacant
'!SET102001!*!pctorgarea!', #Renter-occupied housing units with cash rent:
'!SET102002!*!pctorgarea!', #Less than $300
'!SET102003!*!pctorgarea!', #$300 to $599
'!SET102004!*!pctorgarea!', #$600 to $799
'!SET102005!*!pctorgarea!', #$800 to $999
'!SET102006!*!pctorgarea!', #$1,000 to $1,249
'!SET102007!*!pctorgarea!', #$1,250 to $1,499
'!SET102008!*!pctorgarea!', #$1,500 to $1,999
'!SET102009!*!pctorgarea!', #$2,000 or More
'!SET104001!', #Median Gross Rent
'!SET113001!*!pctorgarea!', # Families:
'!SET113002!*!pctorgarea!', # Income in 2010 below poverty level:
'!SET113003!*!pctorgarea!', # Married Couple Family: With Related Child Living Bellow Poverty Level
'!SET113004!*!pctorgarea!', # Married Couple Family: No related children under 18 Years
'!SET113005!*!pctorgarea!', # Male Householder, no wife present:
'!SET113006!*!pctorgarea!', # With related children under 18 Years
'!SET113007!*!pctorgarea!', # No related children under 18 Years
'!SET113008!*!pctorgarea!', # Female Householder, no husband present:
'!SET113009!*!pctorgarea!', # With related children under 18 Years
'!SET113010!*!pctorgarea!', # No related children under 18 Years
'!SET113011!*!pctorgarea!', # Income In 2010 at or above poverty level
'!SET128001!*!pctorgarea!', # Workers 16 Years and over:
'!SET128002!*!pctorgarea!', # Car, truck, or van
'!SET128003!*!pctorgarea!', # Public transportation (Includes Taxicab)
'!SET128004!*!pctorgarea!', # Motorcycle
'!SET128005!*!pctorgarea!', # Bicycle
'!SET128006!*!pctorgarea!', # Walked
'!SET128007!*!pctorgarea!', # Other means
'!SET128008!*!pctorgarea!', # Worked at home
'!SET129001!*!pctorgarea!', # Workers 16 Years and over:
'!SET129002!*!pctorgarea!', # Did not work at home:
'!SET129003!*!pctorgarea!', # Less than 10 minutes
'!SET129004!*!pctorgarea!', # 10 to 19 minutes
'!SET129005!*!pctorgarea!', # 20 to 29 minutes
'!SET129006!*!pctorgarea!', # 30 to 39 minutes
'!SET129007!*!pctorgarea!', # 40 to 59 minutes
'!SET129008!*!pctorgarea!', # 60 to 89 minutes
'!SET129009!*!pctorgarea!', # 90 or More minutes
'!SET129010!*!pctorgarea!', # Worked at home
'!SET133001!*!pctorgarea!', # Total Population:
'!SET133002!*!pctorgarea!', # Native Born
'!SET133003!*!pctorgarea!', # Foreign Born:
'!SET133004!*!pctorgarea!', # Naturalized Citizen
'!SET133005!*!pctorgarea!', # Not a Citizen
'!SET142001!*!pctorgarea!', # Owner-occupied housing units
]
for fname, expre in zip(cenvar, varexp):
try:
#arcpy.AddField_management(cfname, fname, "FLOAT")
#arcpy.CalculateField_management(cfname, fname, expre, "PYTHON")
arcpy.AddField_management(cfname, prefieldname+fname, "FLOAT")
arcpy.CalculateField_management(cfname, prefieldname+fname, expre, "PYTHON")
# this is with the prefieldname gonna add that later, don't neeed now
print 'Loop ' + prefieldname + " - field: " + fname + ' done at this time: ' + time.strftime('%c')
except:
print 'Script for ' + cfname + ' screwed up at this time: ' + time.strftime('%c')
print 'Script ended at this time: ' + time.strftime('%c')
