aspose-gis-net 26.2.0

Aspose.GIS for Python via .NET is a standalone API to read, write, process, convert GDB, GPX, Shapefile, GML, FileGDB, KML and other popular gis formats. Integration with DataBases and Rendering capabilities of GIS data out from the box.

GIS Formats Analyzing and Manipulation API

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Aspose.GIS for Python via .NET is a robust API designed for developers to handle geospatial data formats without relying on external GIS software. It facilitates the reading, writing, and conversion of multiple GIS formats, along with rendering maps and performing geometry creation and analysis. This makes it an all-encompassing solution for GIS-related tasks within Python applications. It's crossplatform: Windows, MacOS, MacOS-ARM, Linux are supported.

Aspose.GIS for Python via .NET is an ultimate, flexible, stable and powerful API to work with most kinds of GIS Formats. Aspose.GIS is a cross-platform library, it is Windows x32/x64, Linux x64, and MacOS x64/Arm64 compatible.

Aspose.GIS for Python requires you to use python programming language. For the additional languages please visit Aspose.GIS Family Official Page, we recommend you to check Aspose.GIS for .NET.

Aspose.GIS for Python via .NET examples can be found on GitHub

Product Features

The following are Aspose.GIS’s core features:

• Support of Vector and Raster GIS Layers
• Reading, Editing and Creating Layers Features
• Database integration
• Built-in configurable rendering of Vector and Raster Images onto Maps
• Geometry Types Analytics Features
• Flexible filtering of Layers, Features and Attributes
• Spatial Reference Systems Convert and Casting Features
• Streams and Remote Storage Support

Supported File Formats

Vector Formats

The following table lists the vector formats that Aspose.GIS for Python can read or write.

Description	Format	Read	Write
ESRI Shapefile	.shp, .shx, .dbf, .qix, .cpg	✔️	✔️
GeoJSON	.json, .geojson	✔️	✔️
GeoJSON Seq	.json, .geojson	✔️	✔️
ESRI File Geodatabase (FileGDB)	.gdb	✔️	✔️
Geography Markup Language	.gml	✔️	✔️
Keyhole Markup Language	.kml	✔️	✔️
GPS Exchange Format	.gpx	✔️	✔️
TopoJSON	.json, .topojson	✔️	✔️
MapInfo Interchange Format	.mif	✔️	✔️
MapInfo TAB format	.tab, .dat, .dbf, .map, .id	✔️	✔️
OpenStreetMap (OSM) XML	.osm	✔️	✔️
Comma-Separated Values	.csv	✔️	✔️
GeoPackage	.gpkg	✔️	️

Supported Databases

The following table lists the supported databases. Possible, additional DB are supported, because Aspose.GIS supports unified way to work with DBs. But please note, first version of Aspose.GIS for Python via .NET has some limitation with generic methods, filtering and DB.

| Description         | Read | Write |
|---------------------|------|-------|
| Post GIS            | ✔️   | ✔️    |
| SQL Server (MS SQL) | ✔️   | ✔️    |
| PostgreSQL          | ✔️   | ✔️    |

Raster Formats

The following table lists the raster formats that Aspose.GIS for .NET can only read.

Description	Format	Read
Geo TIFF, TIFF	.tiff, .tif	✔️
Geo Big TIFF	.tiff, .tif	✔️
Esri ASCII	.ascii	✔️
World File	(.png, .jpg, .tiff) + .pgw	✔️

Web Tiles

The following web tile formats can be loaded from the Internet.

Format	Description
XYZ Tiles	Slippy Maps

Map Rendering Formats

Maps can be rendered into the following formats.

Format	Description
.SVG	Scalable Vector Graphics
.PNG	Portable Network Graphics
.JPG	JPEG
.BMP	Bitmap Image Files

Platform Independence

Aspose.GIS for Python can be used to develop applications for a wide range of operating systems, such as Windows (x32/x64), Linux (x64), and MacOS (x64/arm64) where Python 3.5 or later is installed.

The base .NET platform is .NET Standard 2.0

Get Started

Ready to give Aspose.GIS for Python a try?

Simply run pip install aspose-gis-net from the console to fetch the package. If you already have Aspose.GIS for Python and want to upgrade the version, please run pip install --upgrade aspose-gis-net to get the latest version.

You can run the following snippets in your environment to see how Aspose.GIS works, or check out the GitHub Repository or Aspose.PSD for Python Documentation for other common use cases.

Convert one GIS format to another

source_format_path = "sample.geojson"
destination_format_path = "output.topojson")

# Perform the conversion
VectorLayer.convert(source_format_path, Drivers.geo_json, destination_format_path, Drivers.topo_json)
		
# Check the list of supported drivers: esri_json, gdal, geo_json, geo_json_seq, in_memory, in_file, kml, shapefile, gpkg, osm_xml, gpx, gml, file_gdb, topo_json, map_info_interchange, map_info_tab, post_gis, sql_server, esri_ascii, geo_tiff, world_raster, jpeg_w, png_w, bmp_w, tiff_w, xyz_tiles, csv
# Please note there can be unsupported conversion pairs

Rendering of map from the several Layers

bandColor = BandColor()

bandColor.band_index = 0
bandColor.min = 0
bandColor.max = 255

color = MultiBandColor()
color.red_band = bandColor

with Map(Measurement.pixels(500), Measurement.pixels(500)) as map_instance:
    layer = Drivers.geo_tiff.open_layer("raster_float32.tif"))
    map_instance.add(layer, color, False)
    map_instance.render(output, Renderers.svg)

Create a Layer of specified format from scratch

result = "sample_out.topojson"

with Drivers.topo_json.create_layer(result) as layer:
    # Add attributes that we are going to set
    layer.attributes.add(FeatureAttribute("name", AttributeDataType.STRING))
    layer.attributes.add(FeatureAttribute("measurement", AttributeDataType.DOUBLE))
    layer.attributes.add(FeatureAttribute("id", AttributeDataType.INTEGER))

    feature0 = layer.construct_feature()
    feature0.set_value("name", "name_0")
    feature0.set_value("measurement", 1.03)
    feature0.set_value("id", 0)
    feature0.geometry = Point(1.3, 2.3)
    layer.add(feature0)

    feature1 = layer.construct_feature()
    feature1.set_value("name", "name_1")
    feature1.set_value("measurement", 10.03)
    feature1.set_value("id", 1)
    feature1.geometry = Point(241.32, 23.2)
    layer.add(feature1)

Get Value Of A Feature Attribute

input = "InputShapeFile.shp"

with VectorLayer.open(input, Drivers.shapefile) as layer:
    for i in range(layer.count):
        feature = layer[i]

        # case 1
        name_value = feature.get_value("name")  # attribute name is case-sensitive
        age_value = feature.get_value("age")
        dob_value = datetime.fromisoformat(feature.get_value("dob")).strftime("%Y-%m-%d")
				
        print(f"Attribute value for feature #{i} is: {name_value}, {age_value}, {dob_value}")

        # case 2
        obj_name = feature.get_value("name")  # attribute name is case-sensitive
        obj_age = feature.get_value("age")
        obj_dob = feature.get_value("dob")
				
        print(f"Attribute object for feature #{i} is: {obj_name}, {obj_age}, {obj_dob}")

Iterate Over Geometries In Geometry

point_geometry = Point(40.7128, -74.006)
line_geometry = LineString()
line_geometry.add_point(78.65, -32.65)
line_geometry.add_point(-98.65, 12.65)
geometry_collection = GeometryCollection()
geometry_collection.add(point_geometry)
geometry_collection.add(line_geometry)

for geometry in geometry_collection:
    if geometry.geometry_type == GeometryType.POINT:
        point = geometry
        assert str(point) == "POINT (40.7128 -74.006)"
    elif geometry.geometry_type == GeometryType.LINE_STRING:
        line = geometry
        assert str(line) == "LINESTRING (78.65 -32.65, -98.65 12.65)"

Example of specific GIS operations

# Getting the Centroid

polygon = Polygon()
ring = LinearRing()
ring.add_point(1, 0)
ring.add_point(2, 2)
ring.add_point(0, 4)
ring.add_point(5, 5)
ring.add_point(6, 1)
ring.add_point(1, 0)

polygon.exterior_ring = ring

# Get the centroid of the polygon
centroid = polygon.get_centroid()
	
# Get the point on surface.  Point on surface is guaranteed to be inside a polygon.
point_on_surface = polygon.get_point_on_surface()

# Get the Area of Polygon.
area = multi_polygon.polygon()

Set License Example

from aspose.gis import License

license = License()
licensePath = "PathToLicenseFile"
license.set_license(licensePath)

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