Verwenden Sie dazu einen Cursor, um die Daten aus Ihrer Tabelle zu erfassen und in eine durch Kommas getrennte Textdatei zu schreiben.
BEARBEITEN: Ich füge einen präziseren Codeblock hinzu, um die Aufgabe mit dem csv
Modul von Python zu erledigen
Neue Antwort mit arcpy.da-Cursor:
import arcpy,csv
table =r'c:\path\to\table'
outfile = r'c:\path\to\output\ascii\text\file'
#--first lets make a list of all of the fields in the table
fields = arcpy.ListFields(table)
field_names = [field.name for field in fields]
with open(outfile,'wb') as f:
dw = csv.DictWriter(f,field_names)
#--write all field names to the output file
dw.writeheader()
#--now we make the search cursor that will iterate through the rows of the table
with arcpy.da.SearchCursor(table,field_names) as cursor:
for row in cursor:
dw.writerow(dict(zip(field_names,row)))
Neue Antwort mit altem Cursor:
import arcpy,csv
table =r'c:\path\to\table'
outfile = r'c:\path\to\output\ascii\text\file'
#--first lets make a list of all of the fields in the table
fields = arcpy.ListFields(table)
field_names = [field.name for field in fields]
with open(outfile,'wb') as f:
w = csv.writer(f)
#--write all field names to the output file
w.writerow(field_names)
#--now we make the search cursor that will iterate through the rows of the table
for row in arcpy.SearchCursor(table):
field_vals = [row.getValue(field.name) for field in fields]
w.writerow(field_vals)
del row
Alte Antwort:
import arcpy
table =r'c:\path\to\table'
outfile = r'c:\path\to\output\ascii\text\file'
#--first lets make a list of all of the fields in the table
fields = arcpy.ListFields(table)
i = 1
f = open(outfile,'w')
for field in fields:
#--write all field names to the output file
if i < len(fields):
f.write('%s,' % field.name)
i += 1
else:
f.write('%s\n' % field.name)
#--now we make the search cursor that will iterate through the rows of the table
rows = arcpy.SearchCursor(table)
for row in rows:
i = 1
for field in fields:
if i < len(fields):
f.write('%s,' % row.getValue(field.name))
i += 1
else:
f.write('%s\n' % row.getValue(field.name))
del rows
f.close()