# None isn't...nor is 0 or 1 ... more explorations into geometry

Blog Post created by Dan_Patterson on Apr 17, 2015

I will leave this as a muse to which I will return.  I thought I would post it now so I can return to more important issues regarding standardization and geometry expression.  Writing this chapter is going to be a pain...

Anyway...here goes....

Dan

When null/nothing/nadda/zilch is not that.

``>>> null_point = arcpy.Point()>>> null_point<Point (0.0, 0.0, #, #)>>>> ``

Oh well, it has to be better elsewhere.

``>>> null_point.__geo_interface__Traceback (most recent call last):  File "<interactive input>", line 1, in <module>AttributeError: 'Point' object has no attribute '__geo_interface__'>>> >>> null_geometry = arcpy.PointGeometry(null_point)>>> null_geometry.__geo_interface__{'type': 'Point', 'coordinates': (0.0, 0.0)}>>>``

Nope...'errors' at worst, misrepresentation at best. I will try the reverse later.

So I began to experiment with other formats before readdressing this issue to see
whether WKT, JSON offered any alternatives.  So...I foolishly thought, lets explore
some real shape before returning to this issue.  The foolish journey begins

``>>> import arcpy>>> SR = arcpy.SpatialReference(4326)  # alway use a coordinate system ... GCS_WGS_1984>>> pnts = [[0.0,0.0],[0.0,1.0],[1.0,0.0],[0.0,0.0]]  # make a polygon ... a triangle>>> arc_poly = arcpy.Polygon(arcpy.Array([arcpy.Point(*xy) for xy in pnts]), SR) # now a Polygon>>> # ... now for some magic ...>>> arc_poly.__geo_interface__ # check the Polygon class for more info (sort of){'type': 'MultiPolygon', 'coordinates': [[[(5.684341886080802e-14, 5.684341886080802e-14), (5.684341886080802e-14, 1.0000000000000568), (1.0000000000000568, 5.684341886080802e-14), (5.684341886080802e-14, 5.684341886080802e-14)]]]}>>> # ?????? >>> Esri_dict = {"rings": [pnts], "spatialReference" : {"wkid" : 4326}}>>> Esri_json = arcpy.AsShape(Esri_dict,True)>>> Esri_json.JSONu'{"rings":[[[0,0],[0,1],[1,0],[0,0]]],"spatialReference":{"wkid":4326,"latestWkid":4326}}'>>> WKT_poly = arcpy.FromWKT(pnts_str,SR)>>> WKT_poly.WKTu'MULTIPOLYGON (((0 0, 1 0, 1 1, 0 1, 0 0)))'>>> # where did the SR go???``

Sigh... there is more to explore in the example script below.  Standardization is just

``'''formats_to_polygon.pyAuthor:  Dan.Patterson@carleton.casee:https://geonet.esri.com/thread/122755https://geonet.esri.com/thread/144517https://geonet.esri.com/thread/63090http://en.wikipedia.org/wiki/Well-known_texthttp://gis.stackexchange.com/questions/48949/           epsg-3857-or-4326-for-googlemaps-openstreetmap-and-leafletothers:Notes:- http://resources.arcgis.com/en/help/main/10.2/index.html#//03q300000066000000    "AsShape does not support GeoJSON coordinate reference system objects; the    spatial reference of a geometry object created from GeoJSON will be Unknown."- arcpy.Polygon.__geo_interface__  see...https://gist.github.com/sgillies/2217756 and https://github.com/cleder/pygeoifhttp://w3facility.org/question/arcpy-geometry-__geo_interface__         -and-asshape-function-loss-of-precision-and-holes/Coordinate systems:- 4326: http://spatialreference.org/ref/epsg/wgs-84/        Horizontal component of 3D system. Used by the GPS satellite navigation        system and for NATO military geodetic surveying.        Google Earth- 4326 = GEOGCS["GCS_WGS_1984",                DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137,298.257223563]],                PRIMEM["Greenwich",0],UNIT["Degree",0.017453292519943295]]- 3857:  http://spatialreference.org/ref/sr-org/7483/  or SR-ORG:7483        Google Maps- 3857 = PROJCS["WGS 84 / Pseudo-Mercator",GEOGCS["GCS_WGS_1984",                DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137,298.257223563]],                PRIMEM["Greenwich",0],UNIT["Degree",0.017453292519943295]],                PROJECTION["Mercator"],PARAMETER["central_meridian",0],                PARAMETER["scale_factor",1],PARAMETER["false_easting",0],                PARAMETER["false_northing",0],UNIT["Meter",1]]- 3395: http://spatialreference.org/ref/epsg/3395/         Very small scale mapping. Last Revised: June 2, 2006,         World - between 80°S and 84°N- 3395 = PROJCS["WGS 84 / World Mercator",                GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",                SPHEROID["WGS_1984",6378137,298.257223563]],PRIMEM["Greenwich",0],                UNIT["Degree",0.017453292519943295]],PROJECTION["Mercator"],                PARAMETER["central_meridian",0],PARAMETER["scale_factor",1],                PARAMETER["false_easting",0],PARAMETER["false_northing",0],                UNIT["Meter",1]] '''import arcpyimport jsondef main(code):  pnts = [[0.0,0.0],[0.0,1.0],[1.0,0.0],[0.0,0.0]]  pnts_str = "POLYGON((0.0 0.0, 1.0 0.0, 0.0 1.0, 0.0 0.0))"  Esri_dict = {"rings": [pnts], "spatialReference" : {"wkid" : code}}  Geo_dict = {"type": "Polygon","coordinates": [pnts],                  "spatialReference":{"wkid":code,"latestWkid":code}}  SR = arcpy.SpatialReference(code)  arc_poly = arcpy.Polygon(arcpy.Array([arcpy.Point(*xy) for xy in pnts]), SR)   WKT_poly = arcpy.FromWKT(pnts_str,SR)  Esri_json = arcpy.AsShape(Esri_dict,True)  Geo_json = arcpy.AsShape(Geo_dict,False)  print('\nTriangle Input formats for .... {}, {}'.format(SR.name,SR.factoryCode))  print(' arcpy.Polygon:\n {}'.format(repr(pnts)))         print(' WKT:\n  input:  {}\n  output: {}  '.format(pnts_str,WKT_poly.WKT))  print(' Esri JSON:\n  input:  {}\n  output: {}  '.format(Esri_dict,Esri_json.JSON))  print(' GeoJSON:\n  input:  {}\n  output:   {}  '.format(Geo_dict,Geo_json.JSON))  print(' Geo_json.__geo_interface__ :\n  output:  {} '.format(Geo_json.__geo_interface__))#-------------------------------------------------------------------------if __name__=='__main__':  for code in [3395,3857,4326]:  # modify the list to suit your purposes    main(code)``

Enjoy... as I said, there is way more to this, but this post is too long already.