def testto_points(self):
obs = 10
wc = '"OBJECTID" < ' + str(obs + 1)
ofc = arcpy.CreateScratchName("tmp_out.dbf", workspace="c:\\temp").replace('.dbf', '.shp')
cs = 27700
ptfc = ap.to_points(self.t_fc, ofc, "POP_EST", "GDP_MD_EST", cs, w = wc)
est = int(arcpy.GetCount_management(ptfc).getOutput(0))
arcpy.Delete_management(ptfc)
self.assertEqual(est, obs)
pass
def testto_points(self):
obs = 10
wc = '"OBJECTID" < ' + str(obs + 1)
ofc = arcpy.CreateScratchName("tmp_out.dbf", workspace="c:\\temp").replace('.dbf', '.shp')
cs = 27700
ptfc = ap.to_points(self.t_fc, ofc, "POP_EST", "GDP_MD_EST", cs, w = wc)
est = int(arcpy.GetCount_management(ptfc).getOutput(0))
arcpy.Delete_management(ptfc)
self.assertEqual(est, obs)
pass
ur.close()
# We have our data in a text file, which we need to import into ArcGIS native
# format. We strongly recommend Esri File Geodatabase.
# ap has short name tviw for arcpy.management.CreateTableView,
# flyr and rlyr for CreateFeatureLayer and CreateRasterLayer.
tb = ap.tviw(text, "tb")
# check that the names and data types are what you would expect
ap.names(tb)
ap.types(tb)
# or like this:
zip(ap.names(tb), ap.types(tb))
# It is point data so let's convert it to a point feature class.
# Store it as a point feature class called 'dta' in our base.gdb.
fc = ap.to_points(tb, ap.to_scratch('dta'), 'x', 'y', 28992)
tmp = ap.head(fc)
# We don't need the table view of text any more so get rid of it.
ap.dlt(tb)
# And we don't need the text file itself either so get rid of it.
ap.dlt(text)
# Print first 10 records using default settings (columns as rows)
tmp = ap.head(fc)
# now print 5 rows as a formatted table, print '-' for geometries
tmp = ap.head(fc, 5, False, '|', '-')
# Print some basic statistics for each column.
tmp = ap.summary(fc)
# Force lime, soil, and ffreq to be treated as categorical variables.
tmp = ap.summary(fc, ['lime', 'soil', 'ffreq'], ['CAT', 'CAT', 'CAT'])
ur.close()
# We have our data in a text file, which we need to import
# into ArcGIS native format, ideally Esri File Geodatabase.
# ap has short name tviw for arcpy.management.CreateTableView,
# flyr and rlyr for CreateFeatureLayer and CreateRasterLayer.
tb = ap.tviw(text, "tb")
# check that the names and data types are what you would expect
ap.names(tb)
ap.types(tb)
# or maybe:
zip(ap.names(tb), ap.types(tb))
# It is point data so let's convert it to a point feature class.
# Store it as a point feature class called 'dta' in our base.gdb.
fc = ap.to_points(tb, ap.to_scratch('dta'), 'x', 'y', 28992)
tmp = ap.head(fc)
# We don't need the table view of text any more so get rid of it.
ap.dlt(tb)
# And we don't need the text file itself either so get rid of it.
ap.dlt(text)
# Print first 10 records using default settings (columns as rows)
tmp = ap.head(fc)
# now print 5 rows as a formatted table, print '-' for geometries
tmp = ap.head(fc, 5, False, '|', '-')
# Print some basic statistics for each column.
tmp = ap.summary(fc)
# Force lime, soil, and ffreq to be treated as categorical variables.
tmp = ap.summary(fc, ['lime', 'soil', 'ffreq'], ['CAT', 'CAT', 'CAT'])
