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__geo_interface__.get('coordinates'))) mapping function: from shapely.geometry import MultiLineString, mapping coords = [((0.0, 0.0), (0.0, 20.0)), ((20.0, 0.0), (20.0, 20.0)), ((1.0569687968009744 … 10.96695601450711, 7.213267528511481)), ((13.884688806883744, 0.35179537762349833), (15.348360220796115, -6.498103101647066))] mlines = MultiLineString(coords) print(list(mapping(mlines).get('coordinates …

I can suggest a PyQGIS solution. It utilizes the openpyxl Python package. Let's assume there is an Excel file called 'testbook' with the following data provided on the 'Sheet1': Proceed with Plugins …

There is a nice online coordinates converter for WGS84, UTM, CH1903, UTMREF(MGRS), Gauß-Krüger, NAC, W3W: https://coordinates-converter.com/en/ …

nan_) UF SIGLA LATITUDE LONGITUDE 47 RJ9 NaN NaN Another solution could be almost the same as was demonstrated in ValueError: Must be a coordinate pair or Point i.e. wrapping coordinates … (nan, nan, 0.0) has been passed as coordinates. …

5337643.246403), (428840.7437, 5395427.193238)] )] } gdf = gpd.GeoDataFrame(d, crs="EPSG:25832") def line_to_coords(geom): m = mapping(geom) list_of_tuples = m['coordinates …

Try this piece of code: from shapely.geometry import Polygon exterior = [(2, 8), (7, 8), (7, 3), (2, 3), (2, 8)] interior = [(4, 7), (4, 5), (6, 5), (6, 7), (4, 7)] interior2 = [(3, 5), (3, 4), (4, 4 …

Here is another approach. Step 1. Drag&Drop your .xlsx file with all tables into QGIS, So, they all will be visible in the Layers Panel Step 2. Use a "Virtual Layer" through Layer > Add Layer > Add/ …

geom.GetGeometryCount() # Create ring newRing = ogr.Geometry(ogr.wkbLinearRing) for i in range(numRings): ring = geom.GetGeometryRef(i) numPoints = ring.GetPointCount() for j in range(numPoints): coordinates … = (round(ring.GetPoint(j)[0]), round(ring.GetPoint(j)[1])) #also works as coordinates = (round(ring.GetX(j)), round(ring.GetY(j))) newRing.AddPoint_2D(coordinates[0], coordinates[1]) …

451967.898155319,75198.5338269215 452182.812141684,75322.6144748018 452397.726128049,75570.7757705624 452397.726128049,75694.8564184426 452182.812141684))' geom = ogr.CreateGeometryFromWkt(testpolywkt) coordinates … = json.loads(geom.ExportToJson())['coordinates'][0] coordinates_rounded = [[round(pair[0]), round(pair[1])] for pair in coordinates] # Create ring ring = ogr.Geometry(ogr.wkbLinearRing) for pair in …

You can also get your points simply via points: The points attribute contains a list of tuples containing an (x,y) coordinate for each point in the shape. import shapefile shape = shapefile.Reader( …

Here is another solution using the mapping(): returns a new, independent geometry with coordinates copied from the context. … import json from shapely.geometry import Polygon, mapping poly = Polygon([[14.471329,46.037286],[14.467378,46.036733],[14.468441,46.034822]]) poly_mapped = mapping(poly) poly_coordinates = poly_mapped['coordinates …

For QGIS versions QGIS 3.20 and higher Starting from QGIS 3.20 it is possible to geocode addresses to coordinates by means of the native tool "Batch Nominatim geocoder", can be found under Vector General … Make use of the "Add X/Y fields to layer" to get coordinates. Change the CRS if needed Step 5. Get the final output …

Another approach utilizes the QGIS's native geoalgorithms. Let's assume there is a polygon layer called 'test', see the image below. Step 1. Use the "Extract vertices" Step 2. Apply the "Add X/Y fie …

So, simply right-mouse click the map canvas > Copy Coordinate..., see the image below and get a pair of your coordinates as 9.115780774,48.813284425. …

Drag&Drop your CSV-file into QGIS, so you can see it in Layers tab Use a "Virtual Layer" through Layer > Add Layer > Add/Edit Virtual Layer... with the following query SELECT make_line( …