def csvwriter(self,shape,background_points,data,grid_data):
"""Export csv from ArcGIS"""
print("Writing csv files for analysis")
FL = []
field_list = arcpy.ListFields(shape)
for field in field_list:
f = field.name
FL.append(f)
fields = ';'.join(FL[2:])
FLbkgrd = []
field_list_bkgrd = arcpy.ListFields(background_points)
for field_bkgrd in field_list_bkgrd:
f_bkgrd = field_bkgrd.name
FLbkgrd.append(f_bkgrd)
fields_bkgrd = ';'.join(FLbkgrd[2:])
try:
arcpy.ExportXYv_stats(shape, fields, "COMMA", data,
"ADD_FIELD_NAMES")
arcpy.ExportXYv_stats(background_points, fields_bkgrd, "COMMA",
grid_data, "ADD_FIELD_NAMES")
except:
print arcpy.GetMessages(2)
print("CSV files written")
print("---------------------------------------------------------------")
def SaveShpAsCSV(ShpFile,OutDir,OutputName):
fields = arcpy.gp.listFields(ShpFile)
fieldList2 = []
for field in fields:
if field.name != "Shape":
fieldList2.append(str(field.name))
#print fieldList2
try:
if not os.path.exists(OutDir+"\\"+OutputName+".csv"):
arcpy.ExportXYv_stats(ShpFile,fieldList2,"COMMA",OutDir+"\\"+OutputName+".csv","ADD_FIELD_NAMES")
else:
os.remove(OutDir+"\\"+OutputName+".csv")
arcpy.ExportXYv_stats(ShpFile,fieldList2,"COMMA",OutDir+"\\"+OutputName+".csv","ADD_FIELD_NAMES")
except:
errorStr = arcpy.gp.GetMessages()
def arcgis_zstat_points_analysis(self, logger=defaultLogger):
#arcpy.ImportToolbox("Model Functions")
arcpy.ImportToolbox(TBX_LOCATION)
#Split points into separate files
intersectParam1 = (
BUFFERS_90M_FILE + ' #;' +
(BUFFERS_FOLDER + BUFFER_FILE).format(**self.string_args) + ' #'
)
intersectSHP = (TEMP_GRID_FOLDER + 'intersect_lakes.shp').format(**self.string_args)
self.string_args['ext'] = 'csv'
dbfFile2 = (SAMPLE_DBF_FOLDER + SAMPLE_PTS_FILE).format(**self.string_args)
self.string_args['ext'] = 'dbf'
arcpy.Buffer_analysis(
SAMPLE_POINTS_FILE, BUFFERS_90M_FILE, "90 Meters", "FULL", "ROUND", "NONE", ""
)
arcpy.Intersect_analysis(intersectParam1, intersectSHP, "ALL", "", "INPUT")
arcpy.AddField_management(
intersectSHP, "Zone_FID", "LONG", "", "", "", "", "NULLABLE", "NON_REQUIRED", ""
)
arcpy.CalculateField_management(intersectSHP, "Zone_FID", "[FID]", "VB", "")
fields = "FID_output;SiteCode;Year;Month;Day;Source;Date_freef;DOC;CDOM;CHL;Zone_FID"
arcpy.ExportXYv_stats(intersectSHP, fields, "COMMA", dbfFile2, "NO_FIELD_NAMES")
arcpy.gp.toolbox = (TBX_STR)
arcpy.gp.SplitLayerByAttributes(
intersectSHP, "FID", "FID_", POINTS_SPLIT_FOLDER.format(**self.string_args)
)
for [band_name, band_folder] in self.band_parameters:
print('Processing band {}'.format(band_name))
self.string_args['band']= band_name
outFolder1 = (TEMP_GRID_FOLDER + 'ext_{band}').format(**self.string_args)
outFolder2 = (TEMP_GRID_FOLDER + 'calc_{band}').format(**self.string_args)
#Iterate through each file created when splitting points
for iterationFile in glob(POINTS_SPLIT_FOLDER.format(**self.string_args) + '*.shp'):
print(iterationFile)
FID = iterationFile.split('\\')[-1].split('.')[0]
dbfFile1 = (TEMP_DBF_FOLDER + BANDS_FILE_CALC).format(FID=FID, **self.string_args)
arcpy.gp.ExtractByMask_sa(band_folder, iterationFile, outFolder1)
arcpy.gp.RasterCalculator_sa("Int(\"{}\" * 0)".format(outFolder1), outFolder2)
arcpy.BuildRasterAttributeTable_management(outFolder2, "NONE")
arcpy.gp.ZonalStatisticsAsTable_sa(
outFolder2, "VALUE", outFolder1, dbfFile1, "DATA", "ALL"
)
logger.info('Performed zstat points analysis for scene {scene}'.format(**self.string_args))
return None
def task3():
inraster_path = os.path.normcase("D:/NDVI Process/Climate layer/Prcp")
inmask_path = os.path.normcase("D:/NDVI Parks/CalNorth/CalNorth Parks")
output_path = os.path.normcase(
"D:/NDVI Parks/CalNorth/near_dis_prcp_maysep")
if os.path.exists(output_path) is False:
os.mkdir(output_path)
inraster_file_list = glob.glob((os.path.join(inraster_path, "*.shp")))
year_labels = [str(year) for year in range(2000, 2014)]
inmask_file_list = glob.glob((os.path.join(inmask_path, "*.shp")))
data_dict = dict()
for inmask_file in inmask_file_list:
inmask_file_name = os.path.split(inmask_file)[-1][:-4] # park name
local_dist_list = list()
local_dist_list.append(inmask_file_name)
for inraster_file in inraster_file_list:
inraster_file_name = os.path.split(inraster_file)[-1]
year_list = range(2000, 2014)
arcpy.Near_analysis(inmask_file, inraster_file)
temp_txt_file = os.path.join(output_path, "dist.txt")
arcpy.ExportXYv_stats(inmask_file, "NEAR_DIST", "space",
temp_txt_file, "ADD_FIELD_NAMES")
with open(temp_txt_file, "rb") as txt_rd:
txt_rd.readline()
value = txt_rd.readline().strip().split(" ")[2]
local_dist_list.append(value)
data_dict[inmask_file_name] = local_dist_list
output_file_name = "prcp_near_distance.csv"
output_file = os.path.join(output_path, output_file_name)
with file(output_file, "wb") as output_fd:
output_writer = csv.writer(output_fd)
output_writer.writerow([' '] + year_labels)
for key in sorted(data_dict.keys()):
output_writer.writerow(data_dict[key])
def task7():
input_path = os.path.normcase("D:/NDVI/New York/parks/junaug near_temp")
output_path = os.path.normcase("D:/NDVI/New York/parks/get_near_result")
if os.path.exists(output_path) is False:
os.mkdir(output_path)
data_dict = dict()
year_labels = [str(year) for year in range(2000, 2015)]
input_file_dir_list = [
os.path.join(input_path, directory)
for directory in os.listdir(input_path)
if os.path.isdir(os.path.join(input_path, directory))
]
for input_directory in input_file_dir_list: # iteret every park
input_directory_name = os.path.split(input_directory)[-1] # park name
temp_mean_list = list()
temp_mean_list.append(input_directory_name)
input_file_list = sorted(
glob.glob(os.path.join(input_directory, "*.shp")))
for input_file in input_file_list:
temp_txt_file = os.path.join(output_path, "aidsbycacnty.txt")
arcpy.ExportXYv_stats(input_file, "junaug", "SPACE", temp_txt_file,
"ADD_FIELD_NAMES")
with open(temp_txt_file, "rb") as txt_rd:
txt_rd.readline()
value = txt_rd.readline().strip().split(" ")[2]
temp_mean_list.append(value)
data_dict[input_directory_name] = temp_mean_list
output_name = os.path.join(output_path, "junaug near_temp.csv")
with file(output_name, "wb") as output_fd:
output_writer = csv.writer(output_fd)
output_writer.writerow([' '] + year_labels)
for key in sorted(data_dict.keys()):
output_writer.writerow(data_dict[key])
def export(List, layer, folder_shp, folder_csv):
for i in range(len(List)): # Loop through the ecoregions, then the states
# Loop through the unique values
for j in range(len(List[i])):
# Select all points in the specifed ecoregion or state
query = fieldList[i] + " = '" + List[i][j] + "'"
print "Select Layer By Attribute for", layer + "_" + nameList[
i] + nameCodes[i][j], "starts at", datetime.datetime.now(
).strftime("%I:%M:%S%p")
arcpy.SelectLayerByAttribute_management(layer, "NEW_SELECTION",
query)
# Copy the selection into a new shapefile
print "Copy Features for", layer + "_" + nameList[i] + nameCodes[
i][j], "starts at", datetime.datetime.now().strftime(
"%I:%M:%S%p")
savename = folder_shp + layer + "_" + nameList[i] + nameCodes[i][
j] + ".shp"
arcpy.CopyFeatures_management(layer, savename)
# Export the new shapefile to a csv
print "ASCII export for", layer + "_" + nameList[i] + nameCodes[i][
j], "starts at", datetime.datetime.now().strftime("%I:%M:%S%p")
Output_ASCII_file = folder_csv + layer + "_" + nameList[
i] + nameCodes[i][j] + ".csv"
arcpy.ExportXYv_stats(
savename,
"pointid;CDL_2008;CDL_2009;CDL_2010;CDL_2011;CDL_2012;CDL_2013;CDL_2014;CDL_2015;CDL_2016;CDL_2017;CDL_2018;eco3_code;state_code",
"COMMA", Output_ASCII_file, "ADD_FIELD_NAMES")
def arc_spatial_join(WD, site_num_col='site', pour_dis=20, export_dir='results', catch_sites_csv = 'catch_sites.csv', catch_poly_csv = 'catch.csv'):
# load in the necessary arcpy libraries to import arcpy
import sys
sys.path.append('C:\\Python27\\ArcGIS10.4\\Lib\\site-packages')
sys.path.append(r'C:\Program Files (x86)\ArcGIS\Desktop10.4\arcpy')
sys.path.append(r'C:\Program Files (x86)\ArcGIS\Desktop10.4\ArcToolbox\Scripts')
sys.path.append(r'C:\Program Files (x86)\ArcGIS\Desktop10.4\bin')
sys.path.append('C:\\Python27\\ArcGIS10.4\\lib')
# Import packages
import arcpy
from arcpy import env
import os
env.workspace = WD
final_export_dir = export_dir
catch_poly = 'catch_del.shp'
sites = 'sites_bound.shp'
catch_sites_join = 'catch_sites_join.shp'
arcpy.SpatialJoin_analysis(catch_poly, sites, catch_sites_join, "JOIN_ONE_TO_MANY", "KEEP_ALL", "", "WITHIN_A_DISTANCE", str(pour_dis + 10) + " Meters", "")
# Remove unnecessary fields
keep_fields = ['FID', 'Shape', 'GRIDCODE', site_num_col]
rem_fields = [f.name for f in arcpy.ListFields(catch_sites_join)]
[rem_fields.remove(x) for x in keep_fields]
arcpy.DeleteField_management(catch_sites_join, rem_fields)
############################################
#### Export data
arcpy.ExportXYv_stats(catch_sites_join, "GRIDCODE;" + site_num_col, "COMMA", os.path.join(final_export_dir, catch_sites_csv), "ADD_FIELD_NAMES")
arcpy.ExportXYv_stats(catch_poly, "ID;GRIDCODE;area_m2", "COMMA", os.path.join(final_export_dir, catch_poly_csv), "ADD_FIELD_NAMES")
###########################################
#### Check back in the spatial analyst license once done
arcpy.CheckInExtension('Spatial')
def task7(state, day_list, epochs):
for epoch in epochs:
input_path = os.path.normcase("D:/NDVI/" + state + "/parks/" + epoch +
" near_temp")
output_path = os.path.normcase("D:/NDVI/" + state +
"/parks/get_near_result")
if os.path.exists(output_path) is False:
os.mkdir(output_path)
output_name = os.path.join(output_path, epoch + " near_temp.csv")
if os.path.exists(output_name):
continue
data_dict = dict()
year_labels = [str(year) for year in range(2000, 2015)]
input_file_dir_list = [
os.path.join(input_path, directory)
for directory in os.listdir(input_path)
if os.path.isdir(os.path.join(input_path, directory))
]
for input_directory in input_file_dir_list: # iteret every park
input_directory_name = os.path.split(input_directory)[
-1] # park name
temp_mean_list = list()
temp_mean_list.append(input_directory_name)
input_file_list = sorted(
glob.glob(os.path.join(input_directory, "*.shp")))
year = 2000
for input_file in input_file_list:
print("task7 is processing %s of %s" % (input_file, epoch))
input_file_year = input_file[-8:-4]
while year < int(input_file_year):
temp_mean_list.append("NA")
year += 1
year += 1
temp_txt_file = os.path.join(output_path, "aidsbycacnty.txt")
try:
arcpy.ExportXYv_stats(input_file, epoch, "SPACE",
temp_txt_file, "ADD_FIELD_NAMES")
with open(temp_txt_file, "rb") as txt_rd:
txt_rd.readline()
value = txt_rd.readline().strip().split(" ")[2]
temp_mean_list.append(value)
except:
temp_mean_list.append("ERROR")
data_dict[input_directory_name] = temp_mean_list
output_name = os.path.join(output_path, epoch + " near_temp.csv")
with file(output_name, "wb") as output_fd:
output_writer = csv.writer(output_fd)
output_writer.writerow([' '] + year_labels)
for key in sorted(data_dict.keys()):
output_writer.writerow(data_dict[key])
def exportToCsvs():
'''exports every shapefile to csv'''
env.workspace = pathlist[1]
polylist = arcpy.ListFeatureClasses()
for poly in polylist:
try:
outname = str(poly)[:-9] + ".csv"
print outname
arcpy.ExportXYv_stats(poly, ["SCINAME", "AREA_GEO"], "COMMA",
pathlist[2] + outname, "ADD_FIELD_NAMES")
print "Finished exporting:", outname
except Exception:
print "Encountered error with", outname
print arcpy.GetMessages()
pass
def get_near_distance_task2(self):
inraster_path = os.path.normcase(
"D:/Environment Factors/Ozone aot layer")
inmask_path = os.path.normcase(
os.path.join(self.state_path, self.state_name + " parks"))
output_path = os.path.normcase(
os.path.join(self.state_path, "near_dis_aot_aprsep"))
if os.path.exists(output_path) is False:
os.mkdir(output_path)
inraster_file_list = glob.glob((os.path.join(inraster_path, "*.shp")))
year_labels = [str(year) for year in range(2000, 2014)]
inmask_file_list = glob.glob((os.path.join(inmask_path, "*.shp")))
data_dict = dict()
for inmask_file in inmask_file_list:
inmask_file_name = os.path.split(inmask_file)[-1][:-4] # park name
local_dist_list = list()
local_dist_list.append(inmask_file_name)
for inraster_file in inraster_file_list:
inraster_file_name = os.path.split(inraster_file)[-1]
year_list = range(2000, 2014)
try:
arcpy.Near_analysis(inmask_file, inraster_file)
except:
local_dist_list = list()
break
temp_txt_file = os.path.join(output_path, "dist.txt")
arcpy.ExportXYv_stats(inmask_file, "NEAR_DIST", "space",
temp_txt_file, "ADD_FIELD_NAMES")
with open(temp_txt_file, "rb") as txt_rd:
txt_rd.readline()
value = txt_rd.readline().strip().split(" ")[2]
local_dist_list.append(value)
if local_dist_list:
data_dict[inmask_file_name] = local_dist_list
output_file_name = "near_distance.csv"
output_file = os.path.join(output_path, output_file_name)
with file(output_file, "wb") as output_fd:
output_writer = csv.writer(output_fd)
output_writer.writerow([' '] + year_labels)
for key in sorted(data_dict.keys()):
output_writer.writerow(data_dict[key])
def spatialJoin(target_file, join_file, output_fields):
try:
# make XY event from a text file
out_Layer = 'p' + target_file[1:-4]
spRef = r"Coordinate Systems\Geographic Coordinate Systems\World\WGS 1984.prj"
arcpy.MakeXYEventLayer_management(target_file, 'x', 'y', out_Layer,
spRef)
arcpy.CopyFeatures_management(out_Layer, 'tem.shp')
# spatial join
arcpy.SpatialJoin_analysis('tem.shp', join_file, 'sj_lyr')
# export joined data
arcpy.ExportXYv_stats('sj_lyr.shp', output_fields, 'COMMA',
'sj_' + target_file, 'ADD_FIELD_NAMES')
except Exception as err:
print(err.args[0])
# remove unnecessary files
os.remove('./data/sj_' + target_file[:-3] + 'txt.xml')
arcpy.Delete_management('tem.shp')
arcpy.Delete_management('sj_lyr.shp')
def writePoints(dataDict, time, timeSecInterval, filePath):
start = addTime(time, 0)
for k, v in dataDict.items():
rowOutput = str(v).split(' ')
rowOutput.append(k)
rowOutput[4] = re.findall('\d+|\D+', rowOutput[4])[1]
rowOutput.append(start)
rowOutput.append(arcpy.Point(float(rowOutput[0]), float(rowOutput[1])))
with arcpy.da.InsertCursor(
"tempFC", ['X', 'Y', 'Z', 'M', 'UniqueID', 'Time', 'SHAPE@'
]) as insertCursor:
insertCursor.insertRow(rowOutput)
start = addTime(start, timeSecInterval)
arcpy.Project_management("tempFC", "tempFCPRJ", 4326)
arcpy.MakeFeatureLayer_management("tempFCPRJ", 'in_memory\eventLayer',
"UniqueID = '" + rowOutput[4] + "'")
arcpy.ExportXYv_stats('in_memory\eventLayer', "OBJECTID;UniqueID;Time",
"COMMA", filePath + "/" + rowOutput[4] + ".csv",
"ADD_FIELD_NAMES") #filePath +
arcpy.Delete_management('in_memory\eventLayer')
L3 = str(out_file)
L4 = """ ' ) """
L5 = '"""'
L6 = """ ) """
Select_PNF = L0+L1+L2+L3+L4+L5+L6
eval(Select_PNF)
print("Select_PNF Evaluated properly")
if PNF_NF_Small_Lake_exclude == 1:
arcpy.SelectLayerByAttribute_management(NHLD_LakeSet, "REMOVE_FROM_SELECTION", "\"Area_m2_0\" < 10000") #PNF_VertPt only larger than 1ha (10000 m2)
#------------------------------------------------------------------------------>
#Save HUC12 PNF
arcpy.CopyFeatures_management(NHLD_LakeSet, outfile_PNF_lakes)
# Process: Export Feature Attribute to ASCII
arcpy.ExportXYv_stats(outfile_PNF_lakes, "FID;Permanent_;FDate;GNIS_ID;GNIS_Name;ReachCode;FType;FCode;Longitude;Latitude;BufferID;Perim_m_0;Area_m2_0;WALA_0;PNF_HUC12;RASTERVALU;ORIG_FID;Perim_m_1;Area_m2_1;WALA_1;MBG_Width;MBG_Length;Width_m_1;MaxSimpTol;MinSimpTol;BUFF_DIST;Perim_m_S;Area_m2_S;Width_m_S", "COMMA", outfile_PNF_lakes_txt, "ADD_FIELD_NAMES")
#------------------------------------------------------------------------------>
#Select PNF Vert select Permanent_ that match PNF Poly and use eval() to select. Issue in PNF could arise on edges where HUC12 is clipped by NHLD boundary
UniPerm_PNF = []
fc = outfile_PNF_lakes
cursor = arcpy.SearchCursor(fc)
for row in cursor:
UniPerm_PNF.append(row.getValue('Permanent_'))
UniPerm_PNF_str = str("','".join(UniPerm_PNF))
L0 = """ arcpy.SelectLayerByAttribute_management(NHLD_LakeSet_VertPt, "NEW_SELECTION", """
L1 = '"""'
L2 = """ "Permanent_" in ('"""
L3 = UniPerm_PNF_str
L4 = """ ' ) """
L5 = '"""'
# Process: Create Points Along Lines
Points_along_Line = "D:/GullyGeoChallenge/data/Step.gdb/Points_along_Line"
arcpy.CreatePointsAlongLines_alonglines(Points_to_Line, Points_along_Line,
"0.05", "VALUE", "NO_END_POINTS")
# Process: Extract Values to Points
Values_Extracted_to_Points = "D:/GullyGeoChallenge/data/Step.gdb/Values_Extracted_to_Points"
arcpy.gp.ExtractValuesToPoints_sa(Points_along_Line, tejeria_dsm_medium_tif,
Values_Extracted_to_Points, "NONE",
"VALUE_ONLY")
# Process: Add Field
arcpy.AddField_management(Values_Extracted_to_Points, "Distance", "FLOAT", "",
"", "", "", "NULLABLE", "NON_REQUIRED", "")
# Process: Calculate Field
Expression_2 = "([OBJECTID] -1) * 0.05"
arcpy.CalculateField_management(Values_Extracted_to_Points, "Distance",
Expression_2, "VB", "")
# Process: Export Feature Attribute to ASCII
# Change the GPS number sin the Tej_csv parameter (1 and 3 set as standard) to the points chosen in the select tool above).
# Leave the 0s in front of the numbers numbers away.
Tej_csv = "D:/GullyGeoChallenge/data/Results.gdb/Tej_26_28.csv"
arcpy.ExportXYv_stats(Values_Extracted_to_Points, "RASTERVALU;Distance",
"COMMA", Tej_csv, "true")
print "Done"
########## END OF SCRIPT ##########
import os
import glob
import arcpy
from arcpy import env
from arcpy.sa import *
env.Workspace = "D:/NDVI Process/Environment/"
arcpy.env.overwriteOutput = True
if __name__ == "__main__":
result_path = os.path.normcase("D:/NDVI Process/Result")
target_path = os.path.normcase("D:/NDVI Process/Stats")
year_list = range(2000, 2014)
value_fields = [
"GRIDCODE", "GRIDCODE_6", "GRIDCOD_12", "GRIDCOD_18", "GRIDCOD_24",
"GRIDCOD_30", "GRIDCOD_36", "mean", "mean_1", "maysep", "maysep_1"
]
# value_fields = "GRIDCODE_12"
for year in year_list:
file_path = os.path.join(result_path, str(year))
file_list = glob.glob(os.path.join(file_path, "*.shp"))
for shp_file in file_list:
out_file = os.path.join(target_path,
os.path.split(shp_file)[-1][:-4] + ".txt")
arcpy.ExportXYv_stats(shp_file, value_fields, "SPACE", out_file,
"ADD_FIELD_NAMES")
print("dfjdjf")
def indicator_to_csv(OutputCSVFile, IndicatorID, GeographicLevelID, Language, DGUIDs):
geoID = GeographicLevelID.strip().upper()[0:5]
lng = Language.upper()
# prepare DGUIDs if present
dguid_str = prepare_dguids(DGUIDs)
# select and rename fields to be exported based on language selection
# note special characters are automatically changed to _ by arcpy
if lng == "EN":
d = {
"DGUID" : "DGUID",
"Loc" : "Location",
"Prov" : "Province_Territory",
"Value" : "Value",
"Desc" : "Data_Comment"
}
elif lng == "FR":
d = {
"DGUID" : "IDUGD",
"Loc" : "Endroit",
"Prov" : "Province_Territoire",
"Value" : "Valeur",
"Desc" : "Commentaire"
}
# Build query string
qry = "SELECT grfi.GeographyReferenceId AS " + d["DGUID"] + ", " \
"g.DisplayNameLong_" + lng + " AS " + d["Loc"] + ", " \
"g.ProvTerrName_" + lng + " AS " + d["Prov"] + ", " \
"iv.value AS " + d["Value"] + ", " \
"nr.Description_" + lng + " AS " + d["Desc"] + ", g.Shape " \
"FROM gis.geographyreference AS g INNER JOIN gis.geographyreferenceforindicator AS grfi " \
"ON g.geographyreferenceid = grfi.geographyreferenceid INNER JOIN " \
"(select * from gis.indicator where indicatorId = " + IndicatorID + ") AS i " \
"ON grfi.indicatorid = i.indicatorid INNER JOIN gis.geographiclevel AS gl " \
"ON g.geographiclevelid = gl.geographiclevelid INNER JOIN " \
"gis.geographiclevelforindicator AS glfi ON i.indicatorid = glfi.indicatorid " \
"AND gl.geographiclevelid = glfi.geographiclevelid INNER JOIN " \
"gis.indicatorvalues AS iv ON iv.indicatorvalueid = grfi.indicatorvalueid " \
"INNER JOIN gis.indicatortheme AS it ON i.indicatorthemeid = it.indicatorthemeid " \
"LEFT OUTER JOIN gis.indicatornullreason AS nr ON iv.nullreasonid = nr.nullreasonid " \
"WHERE g.GeographicLevelID = '" + geoID + "' "
if DGUIDs != "":
qry += "AND grfi.GeographyReferenceID IN (" + dguid_str + ") "
arcpy.AddMessage(qry)
# Make Query Layer from result of primary query - results in feature layer
sr = arcpy.SpatialReference(3857) # WGS_1984_Web_Mercator_Auxiliary_Sphere
all_polys = arcpy.MakeQueryLayer_management(input_database=csge_sde,
out_layer_name=os.path.join(scratch_path, "all_polys.shp"),
query=qry, oid_fields=d["DGUID"],
shape_type="POLYGON", spatial_reference=sr)
# Export CSV - semi colon delimiter is used b/c many values contain commas.
# Note: table to table tool does not support custom delimiters as of pro version 2.8.
# Ignoring OutputCSVFile arg allows consistent filename when service is published
arcpy.ExportXYv_stats(Input_Feature_Class=all_polys, Value_Field=list(d.values()),
Delimiter="SEMI-COLON", Output_ASCII_File="Export.txt",
Add_Field_Names_to_Output="ADD_FIELD_NAMES")
out_coor_system = "GEOGCS['GCS_WGS_1984',DATUM['D_WGS_1984',SPHEROID['WGS_1984',6378137.0,298.257223563]],PRIMEM['Greenwich',0.0],UNIT['Degree',0.0174532925199433]]",
transform_method = "WGS_1984_(ITRF00)_To_NAD_1983",
in_coor_system = "PROJCS['NAD_1983_StatePlane_Massachusetts_Mainland_FIPS_2001',GEOGCS['GCS_North_American_1983',DATUM['D_North_American_1983',SPHEROID['GRS_1980',6378137.0,298.257222101]],PRIMEM['Greenwich',0.0],UNIT['Degree',0.0174532925199433]],PROJECTION['Lambert_Conformal_Conic'],PARAMETER['False_Easting',200000.0],PARAMETER['False_Northing',750000.0],PARAMETER['Central_Meridian',-71.5],PARAMETER['Standard_Parallel_1',41.71666666666667],PARAMETER['Standard_Parallel_2',42.68333333333333],PARAMETER['Latitude_Of_Origin',41.0],UNIT['Meter',1.0]]"
)
arcpy.AddMessage("Points projected to WGS84: " + fc_Densify_VertPoints_Project)
# 6) Add XY Coordinates
arcpy.AddXY_management(
in_features = fc_Densify_VertPoints_Project
)
# 7) Export Attribute Table to CSV
arcpy.ExportXYv_stats(
Input_Feature_Class = fc_Densify_VertPoints_Project,
Value_Field = Value_Field,
Delimiter = "COMMA",
Output_ASCII_File = csv_output,
Add_Field_Names_to_Output = "ADD_FIELD_NAMES"
)
arcpy.AddMessage("(lon,lat) points added to field, exported as csv: " + csv_output)
# ---------------------------------------------------------------------------
# 8) Parse CSV to collect (lat,lng) pairs for each unique ID
snap_list = []
with open (csv_output, 'rb') as infile:
snap_list_num = -1
id = ''
prev_id = ''
unique_id = str(unique_id)
reader = csv.DictReader(infile)
def joinDEMcoverExport(DEM_gr, cellCenters, site, aggregationFactor, path,
sitePoly):
import arcpy
from arcpy import env
env.workspace = "%s\\ChangeModeling\\%s" % (path, site)
arcpy.env.overwriteOutput = True
env.scratchWorkspace = "%s\\ChangeModeling\\Scratch.gdb" % path
# spatial join to grid poly (contains cover info) from centroids (contains DEM-derived topo vars)
AllData = arcpy.SpatialJoin_analysis(DEM_gr, cellCenters, "AllData.shp",
"#", "#", "#", "CONTAINS")
print "Topo vars joined with cell cover"
# explicitly add Northing and Easting of centroids
AllData = arcpy.AddField_management(AllData, "northing", "DOUBLE")
AllData = arcpy.CalculateField_management(AllData, "northing",
"!SHAPE.CENTROID.Y!",
"PYTHON_9.3")
AllData = arcpy.AddField_management(AllData, "easting", "DOUBLE")
AllData = arcpy.CalculateField_management(AllData, "easting",
"!SHAPE.CENTROID.X!",
"PYTHON_9.3")
print "Northing/Easting added"
arcpy.AddGeometryAttributes_management(AllData, "CENTROID;CENTROID_INSIDE")
print "Centroids (inside and out) added"
AllData = arcpy.AddField_management(AllData, "cell_area", "DOUBLE")
AllData = arcpy.CalculateField_management(AllData, "cell_area",
"!SHAPE.AREA!", "PYTHON_9.3")
print "area field added"
# in order to change the name from AllData, we need to convert it. silly ArcGIS.
AllData_final = arcpy.FeatureClassToFeatureClass_conversion(
AllData, env.workspace,
"AllData_%s_%s.shp" % (site, aggregationFactor))
print "Final dataset shapefile created"
# export as csv
if site == "WC":
ending = arcpy.ExportXYv_stats(
AllData_final, [
"Cover1948", "Grass1948", "BareG1948", "Cover2009",
"Grass2009", "BareG2009", "elev", "slope", "curv", "curv_plan",
"curv_prof", "eastn", "northn", "tmi", "northing", "easting",
"CENTROID_X", "CENTROID_Y", "INSIDE_X", "INSIDE_Y",
"cell_area", "insol", "distridge", "heatind"
], "COMMA", "AllData_%s_%s.csv" % (site, aggregationFactor),
"ADD_FIELD_NAMES")
else:
ending = arcpy.ExportXYv_stats(
AllData_final, [
"Cover1948", "Grass1948", "BareG1948", "Cover2009",
"Grass2009", "BareG2009", "elev", "slope", "curv", "curv_plan",
"curv_prof", "eastn", "northn", "tmi", "northing", "easting",
"CENTROID_X", "CENTROID_Y", "INSIDE_X", "INSIDE_Y",
"cell_area", "insol", "distridge", "heatind", "NEAR_DIST"
], "COMMA", "AllData_%s_%s.csv" % (site, aggregationFactor),
"ADD_FIELD_NAMES")
print "exported to csv"
# and congratulations are definitely in order. :)
print "Congratulations! You have made ArcGIS do stuff!"
in_table = out_path+out_name
x_coords="Longitude"
y_coords="Latitude"
z_coords="mean"
out_layer="event"+str(year)
saved_layer = out_path+"event"+str(year)+".lyr"
spRef = r"c:\Dian\United States\background\Coordinate.prj"
arcpy.MakeXYEventLayer_management(in_table,x_coords,y_coords,out_layer,spRef,z_coords)
arcpy.SaveToLayerFile_management(out_layer, saved_layer)
gp.FeatureClassToShapefile(saved_layer,out_path)
print "event " + str(year)
in_point = out_path + "event" + str(year) + ".lyr"
in_raster = in_r + "estats" + str(year)
outpoint = out_path + "Tempozone" + str(year) + ".shp"
arcpy.CheckOutExtension("Spatial")
ExtractValuesToPoints(in_point, in_raster, outpoint)
print "Tempozone" + str(year)
#here I want to export the attribute table of the shapfile
input_features = out_path+"Tempozone"+str(year)+".shp"
export_ASCII = out_path+"Tempozone"+str(year)+".txt"
arcpy.env.workspace = env.workspace
arcpy.ExportXYv_stats(input_features,["YEAR","STATECODE","COUNTYCODE","SITENUM", "LATITUDE", "LONGITUDE", "MEAN","SD", "RASTERVALU"], "COMMA", export_ASCII, "ADD_FIELD_NAMES")
print "TPOZ" +str(year)
arcpy.CopyFeatures_management("fish_lyr", "fishnet_final.shp")
arcpy.AddField_management("fishnet_final.shp", "area", "FLOAT")
arcpy.CalculateField_management("fishnet_final.shp", "area", "!shape.area!",
"PYTHON")
user_soil = input(
"Do you want to generate Soil Parameter File?\n (Type 1 for YES and 0 for NO:)"
)
if user_soil == 1:
print "Preparing soil parameter file, dont open any files until it completes... \n"
arcpy.ExcelToTable_conversion(soil_appendix, "soil_app1")
arcpy.AddJoin_management("fish_lyr", "SOIL", "soil_app1", "SOIL_CLASS")
cols = [a.name for a in arcpy.ListFields("fish_lyr")]
cols_to_take = [cols[0]] + cols[3:5] + cols[6:9] + cols[12:]
arcpy.ExportXYv_stats("fish_lyr", cols_to_take, "COMMA", "temp_soil.csv",
"ADD_FIELD_NAMES")
temp = pd.read_csv(workspace + "\\" + "temp_soil.csv")
temp = temp.iloc[:, 2:]
temp["dsmax"] = temp["FISHNET_F.SLOPE"] * temp["SOIL_APP1:KSAT_Z1"]
temp["grid_no"] = temp['FISHNET_F.FID']
temp = temp.drop(['FISHNET_F.FID', 'FISHNET_F.SLOPE'], axis=1)
c1 = temp.columns.tolist()
colord = [c1[0]] + [c1[-1]] + c1[2:6] + [c1[-2]
] + c1[6:20] + [c1[1]] + c1[20:-2]
new_temp = temp[colord]
os.chdir(workspace)
arcpy.AddJoin_management("fish_lyr", "SOIL", "soil_app1", "SOIL_CLASS")
cols = [a.name for a in arcpy.ListFields("fish_lyr")]
cols_to_take = [cols[0]] + cols[3:5] + cols[6:9] + cols[12:]
except:
print 'Warning: Unable to delete original grid_SWMM'
ap.FeatureClassToFeatureClass_conversion (grid_Dir, SWMM_prep, "grid_SWMM")
# shapefiles to combine
to_combine = [grid_Manning, grid_Slope, grid_ISAT]
# create list of desired fields to pass to final object
desired = ['Manning', 'dep_stor', 'Majority', 'Slope', 'Accum', 'MEAN_IS']
# combine desired fields into one shape file
[ap.JoinField_management(grid_SWMM, 'OBJECTID', to_combine[idx], 'OBJECTID',
desired) for idx in range(len(to_combine))]
print "\n"
print "Success!"
print "Check grid_SWMM is correct"
print "\n"
# Compare with original grid_SWMM_old in SWMM_prep_old.gdb
if 'export' in runsteps:
print 'grid_SWMM must exist at:', grid_SWMM
try:
os.remove (table_SWMM)
except:
print 'Creating new table'
# export to csv
keep_fields = ['Zone', 'Flow_ID', 'Accum', 'MEAN_IS', 'Slope', 'Manning',
'dep_stor', 'MODEL_TOP', 'COLUMN_', 'ROW']
ap.ExportXYv_stats(grid_SWMM, keep_fields, 'COMMA', table_SWMM, 'ADD_FIELD_NAMES')
ap.CheckInExtension("Spatial")
## Select all fishing events that are less than upper bound distance *** I can't get this to work correctly, so I did this manually first before running code
#qry = "\"LENGTH\" < '" + dist1 + "'
#arcpy.AddMessage("Selecting fishing events "+ qry)
#arcpy.SelectLayerByAttribute_management(v_Name_Lyr, "NEW_SELECTION", qry )
# Write the selected features to a new featureclass
#arcpy.CopyFeatures_management(v_Name_Lyr, v_Name_Selected)
# Process: Intersect
arcpy.AddMessage("Intersecting fishing with polygons...")
inFeatures = [fe, area_Poly]
arcpy.Intersect_analysis(inFeatures, v_Name_Intersect, "ALL", "", "LINE")
# Process: Buffer
arcpy.AddMessage("Buffering...")
arcpy.Buffer_analysis(v_Name_Intersect, v_Name_Buffer, dist2, "FULL", "ROUND",
"LIST", "Reef")
# Process: Clip
arcpy.AddMessage("Clipping...")
arcpy.Clip_analysis(v_Name_Buffer, area_Poly, v_Name_Final, "")
# Process: Export Feature Attribute to ASCII...
arcpy.AddMessage("Exporting attribute table...")
arcpy.env.workspace = out_folder_path
input_features = outLocation + "\\" + v_Name_Final
export_ASCII = fename + "_Area.csv"
arcpy.ExportXYv_stats(input_features, ["Reef", "Shape_Area"], "COMMA",
fename + "_Area.csv", "ADD_FIELD_NAMES")
def arcgis_zstat_selected_points_analysis(self, logger=defaultLogger):
#arcpy.ImportToolbox("Model Functions")
arcpy.ImportToolbox(TBX_LOCATION)
arcpy.gp.toolbox = TBX_STR
#Split points into separate files
self.string_args['ext'] = 'dbf'
intersectParam1 = (
SEL_BUFFERS_90M_FILE + ' #;' +
(BUFFERS_FOLDER + BUFFER_FILE).format(**self.string_args) + ' #'
)
intersectSHP = TEMP_GRID_FOLDER.format(**self.string_args) + 'intersect_sel_lakes.shp'
dbfFile2 = (SEL_POINTS_FOLDER + SEL_POINTS_FILE).format(**self.string_args)
if not os.path.exists(intersectSHP):
arcpy.Intersect_analysis(intersectParam1, intersectSHP, "ALL", "", "INPUT")
if not os.path.exists(dbfFile2) and not os.path.exists(dbfFile2.replace('dbf','csv')):
arcpy.AddField_management(
intersectSHP, "Zone_FID", "LONG", "", "", "", "", "NULLABLE", "NON_REQUIRED", ""
)
arcpy.CalculateField_management(intersectSHP, "Zone_FID", "[FID]", "VB", "")
arcpy.ExportXYv_stats(
intersectSHP, "FID;SubSite;SiteCode;Count;CDOM", "COMMA",
dbfFile2, "ADD_FIELD_NAMES"
)
if (not os.path.exists((SEL_SPLIT_FOLDER + 'FID_00.shp').format(**self.string_args))
and not os.path.exists((SEL_SPLIT_FOLDER + 'FID_0.shp').format(**self.string_args))):
arcpy.gp.SplitLayerByAttributes(
intersectSHP, "FID", "FID_", SEL_SPLIT_FOLDER.format(**self.string_args)
)
for [band_name, band_folder] in self.band_parameters:
self.string_args['band']=band_name
outFolder1 = (TEMP_GRID_FOLDER + 'ext_{band}').format(**self.string_args)
outFolder2 = (TEMP_GRID_FOLDER + 'calc_{band}').format(**self.string_args)
#Iterate through each file created when splitting points
for iterationFile in glob((SEL_SPLIT_FOLDER + 'FID_*.shp').format(**self.string_args)):
FID = iterationFile.split('\\')[-1].split('.')[0]
dbfFile1 = (
SEL_TEMP_DBF_FOLDER + SEL_BANDS_FILE_CALC).format(FID=FID, **self.string_args
)
if not os.path.exists(dbfFile1) and not os.path.exists(dbfFile1[0:-3] + 'csv'):
print(dbfFile1)
arcpy.gp.ExtractByMask_sa(band_folder, iterationFile, outFolder1)
arcpy.gp.RasterCalculator_sa("Int(\"{}\" * 0)".format(outFolder1), outFolder2)
time.sleep(5)
arcpy.BuildRasterAttributeTable_management(outFolder2, "NONE")
arcpy.gp.ZonalStatisticsAsTable_sa(
outFolder2, "VALUE", outFolder1, dbfFile1, "DATA", "ALL"
)
logger.info('Performed selected points analysis for scene {scene}'
.format(**self.string_args))
return None
inputdir = "D:/007/tasks/T-drive_Taxi_Trajectories/AIS_Data_gdb"
outputdir = "D:/007/tasks/T-drive_Taxi_Trajectories/AIS_Data_txt"
input_features = "Broadcast"
value_field = ['OBJECTID', 'BaseDateTime', 'SOG', 'COG', 'MMSI']
files = os.listdir(inputdir)
for f in files:
if os.path.splitext(f)[1] == '.gdb':
# Script arguments...
inputfile = inputdir + os.sep + f
# =============== file name process ======================
basename = os.path.splitext(f)[0]
export_ASCII = outputdir + os.sep + basename + ".txt"
if os.path.exists(export_ASCII) == False:
print inputfile
# Process: Raster To Other Format (multiple)...
try:
# Set the current workspace (to avoid having to specify the full path to the feature classes each time)
arcpy.env.workspace = inputfile
# Process: Export Feature Attribute to ASCII...
arcpy.ExportXYv_stats(input_features, value_field, 'COMMA',
export_ASCII, "ADD_FIELD_NAMES")
except:
# If an error occurred when running the tool, print out the error message.
print(arcpy.GetMessages())
print export_ASCII
def run(IFile, Ofile, Fnum, Nfield, Aout, Csvout):
import arcpy
import os
import os.path
from arcpy import env
env.overwriteOutput = "True"
# Set environment settings
env.workspace = Ofile
# Set local variables
print "--------------------------------------------------------------------"
print "Program ExtractValue2Point Starts: ", time.asctime(
time.localtime(time.time()))
print "--------------------------------------------------------------------"
for x in xrange(0, int(Fnum)):
if (Aout == "Yes"):
if os.path.isfile(Ofile + "/" + "selected_features" +
str(x) + ".shp"):
print "output value of Grid ", x
print ""
inFeatures = "selected_features" + str(x) + ".shp"
export_ASCII = "ASCII " + str(x) + ".txt"
inRasterList = [[IFile, str(Nfield)]]
# Check out the ArcGIS Spatial Analyst extension license
arcpy.CheckOutExtension("Spatial")
# Execute ExtractValuesToPoints
ExtractMultiValuesToPoints(inFeatures, inRasterList,
"BILINEAR")
arcpy.ExportXYv_stats(inFeatures, str(Nfield), "SPACE",
export_ASCII, "ADD_FIELD_NAMES")
else:
if os.path.isfile(Ofile + "/" + "selected_features" +
str(x) + ".shp"):
print "output value of Grid ", x
print ""
inFeatures = "selected_features" + str(x) + ".shp"
inRasterList = [[IFile, str(Nfield)]]
# Check out the ArcGIS Spatial Analyst extension license
arcpy.CheckOutExtension("Spatial")
# Execute ExtractValuesToPoints
ExtractMultiValuesToPoints(inFeatures, inRasterList,
"BILINEAR")
if (Csvout == "Yes"):
for x in xrange(0, int(Fnum)):
if os.path.isfile(Ofile + "/" + "selected_features" +
str(x) + ".shp"):
filename = Ofile + "/selected_features" + str(
x) + ".dbf"
if filename.endswith('.dbf'):
print "Converting %s to csv" % filename
csv_fn = filename[:-4] + ".csv"
with open(csv_fn, 'wb') as csvfile:
in_db = dbf.Dbf(filename)
out_csv = csv.writer(csvfile)
names = []
for field in in_db.header.fields:
names.append(field.name)
out_csv.writerow(names)
for rec in in_db:
out_csv.writerow(rec.fieldData)
in_db.close()
print "Done..."
else:
print "Filename does not end with .dbf"
else:
print "-------------------------------------------"
print "Not generating all the csv files"
print ""
print "the value has been added to all the grid file"
print "the ASCII files have been generated"
print "--------------------------------------------------------------------"
print "Program ExtractValue2Point Ends: ", time.asctime(
time.localtime(time.time()))
print "--------------------------------------------------------------------"
tejeria_dsm_medium_tif = "tejeria_dsm_medium.tif" Value_Field = "RASTERVALU;Distance" Delimiter = "COMMA" Add_Field_Names_to_Output = "true" Field_Name = "Distance" Field_Name__2_ = "Distance" Expression__2_ = "([OBJECTID] -1) * 0.05" Field_Type = "FLOAT" # Process: Select arcpy.Select_analysis(cross_section_locations_Tejeria, Tej_Cross_Sect_39_41_, Expression) # Process: Points To Line arcpy.PointsToLine_management(Tej_Cross_Sect_39_41_, Tej_39_41_line, "", Sort_Field, "NO_CLOSE") # Process: Create Points Along Lines arcpy.CreatePointsAlongLines_alonglines(Tej_39_41_line, Tej_39_41_Points_Along_Line, Interval__units_are_in_units_of_input_, "VALUE", "NO_END_POINTS") # Process: Extract Values to Points arcpy.gp.ExtractValuesToPoints_sa(Tej_39_41_Points_Along_Line, tejeria_dsm_medium_tif, Tej_39_41_Extracted_Point_Values, Interpolate_values_at_the_point_locations, "VALUE_ONLY") # Process: Add Field arcpy.AddField_management(Tej_39_41_Extracted_Point_Values, Field_Name, Field_Type, "", "", "", "", "NULLABLE", "NON_REQUIRED", "") # Process: Calculate Field arcpy.CalculateField_management(Tej_39_41_Extracted_Point_Values__2_, Field_Name__2_, Expression__2_, "VB", "") # Process: Export Feature Attribute to ASCII arcpy.ExportXYv_stats(Tej_39_41_Extracted_Point_Values__3_, Value_Field, Delimiter, Tej_39_41_csv, Add_Field_Names_to_Output)
year = 1980
# select layer by location
arcpy.MakeFeatureLayer_management(in_path + "ests" + str(year) + ".shp",
'elyr' + str(year))
arcpy.SelectLayerByLocation_management('elyr' + str(year), 'intersect',
in_path + "Urbanized_area" + ".shp")
arcpy.CopyFeatures_management("elyr" + str(year),
out_path + 'usits' + str(year))
print "usits " + str(year)
#export usits attribute to txt
input_features = out_path + "usits" + str(year) + ".shp"
export_ASCII = "usits" + str(year) + ".txt"
arcpy.ExportXYv_stats(input_features, "YEAR", "SPACE", export_ASCII,
"ADD_FIELD_NAMES")
gp = arcgisscripting.create()
output = open(r + str(year) + '.csv', 'w')
linewriter = csv.writer(output, delimiter=',')
fcdescribe = gp.Describe(out_path + 'usits' + '.shp')
flds = fcdescribe.Fields
header = []
for fld in flds:
value = fld.Name
header.append(value)
linewriter.writerow(header)
cursor = gp.SearchCursor(out_path + 'usits' + '.shp')
row = cursor.Next()
# Add quotes to raster field
RasterExpression = "AddQuotes(!" + RasterField + "!)"
arcpy.CalculateField_management(Reference_Points_Extract, RasterField,
RasterExpression, "PYTHON", codeBlock)
# Add and calculate a value field
ValueField = "Count"
ValueExpression = 1
arcpy.AddField_management(Reference_Points_Extract, ValueField, "Long")
arcpy.CalculateField_management(Reference_Points_Extract, ValueField,
ValueExpression, "PYTHON")
# Export raster field and reference field to csv
Value_Field = "\"" + ReferenceField + ";" + RasterField + ";" + ValueField + "\""
arcpy.ExportXYv_stats(Reference_Points_Extract, Value_Field, "COMMA",
Reference_CSV, "ADD_FIELD_NAMES")
# Read output CSV into data frame
dataFrame = pandas.read_csv(Reference_CSV)
dataFrame.head()
# Generate pivot table from data frame
pivotTable = pandas.pivot_table(dataFrame,
index=RasterField.upper(),
columns=[ReferenceField.upper()],
values=ValueField.upper(),
aggfunc=numpy.sum,
fill_value="")
# Generate an excel file to store pivot table
writer = pandas.ExcelWriter(Pivot_Table, engine='xlsxwriter')
## Process: Resample apriori raster - https://desktop.arcgis.com/en/arcmap/10.3/tools/data-management-toolbox/resample.htm
print 'Resampling basin raster...'
arcpy.Resample_management(Basin_Raster, Basin_Raster_resamp, "0.01 0.01", "NEAREST")
## Process: Clip raster to basin boundary
print 'Extracting by mask - basin boundary...'
arcpy.Clip_management(Basin_Raster_resamp, "#", Basin_Raster_resamp_clip, Basin_Boundary, "", "ClippingGeometry","NO_MAINTAIN_EXTENT")
## Process: Raster to Point
print 'Raster to point...'
arcpy.RasterToPoint_conversion(Basin_Raster_resamp_clip, Basin_Points, "VALUE")
#
## Process: Export Feature Attribute to ASCII
print 'Export attributes to text...'
arcpy.ExportXYv_stats(Basin_Points + '.shp', "GRID_CODE", "COMMA", Out_text, "ADD_FIELD_NAMES")
if snow == 'on':
# list all Snow17 grids (directories containing data only) #ignore extra files in directory
all_snow = [ name for name in os.listdir(SNOW17_Grids_Folder) if os.path.isdir(os.path.join(SNOW17_Grids_Folder, name)) ]
all_snow.remove('info') # remove info directory from list of variables
for variable in all_snow:
print ch5id + ' --> ' + variable
Out_text = output_dir + '\\' + ch5id + '\\' + ch5id + '_' + variable + '.txt'
## Local variables:
RASTER = SNOW17_Grids_Folder + '\\' + variable
#Basin_Raster = 'P:\\NWS\\GIS\\Models\\10_0_tools\\Model_Output\\' + variable
#Basin_Points = 'P:\\NWS\\GIS\\Models\\10_0_tools\\Model_Output\\' + variable + '_points'
Basin_Raster = 'C:\\NWS\\python\\temp_output\\x' + ch5id
Basin_Points = 'C:\\NWS\\python\\temp_output\\' + ch5id + '_points'
fallowQuery)
# Copy selection to a new shapefile
fallowcrops = "H:\\CDL_RGB\\usa_albers\\output_data\\fallow_cropland\\fallowcrops.shp"
arcpy.CopyFeatures_management("point_lyr", fallowcrops)
print "Copy Features: Fallow Cropland completed at", datetime.datetime.now(
).strftime("%I:%M:%S%p")
print "Fallow Cropland export to ASCII starts at", datetime.datetime.now(
).strftime("%I:%M:%S%p")
# Export the attribute table to CSV
Output_ASCII_file = "H:\\CDL_RGB\\usa_albers\\output_data\\fallow_cropland\\csvs\\fallowcrops.csv"
arcpy.ExportXYv_stats(
fallowcrops,
"pointid;CDL_2008;CDL_2009;CDL_2010;CDL_2011;CDL_2012;CDL_2013;CDL_2014;CDL_2015;CDL_2016;CDL_2017;CDL_2018;eco3_code;state_code",
"COMMA", Output_ASCII_file, "ADD_FIELD_NAMES")
print "Step 8.2 Export Fallow Cropland completed at", datetime.datetime.now(
).strftime("%I:%M:%S%p")
#------------------------
#### 8.3 EXPORT FALLOW CROPLAND, AND CROPLAND BASED ON ECOREGION AND STATE
##
# Inputs: ExCrop2018
# Outputs: one shapefile and one csv for each ecoregion and state (to include the 99 values) for both fallow/idle and cropland
print "\nStep 8.3. Export to csv Based on Ecoregion and State starts at", datetime.datetime.now(
).strftime("%I:%M:%S%p")
