PyGeoIf provides a GeoJSON-like protocol <https://gist.github.com/2217756>
_ for geo-spatial (GIS) vector data.
Other Python programs and packages that you may have heard of already implement this protocol:
ArcPy <https://www.esri.com/about/newsroom/arcuser/geojson/>
_descartes <https://docs.descarteslabs.com/>
_PySAL <http://pysal.geodacenter.org/>
_Shapely <https://github.com/Toblerity/Shapely>
_pyshp <https://pypi.python.org/pypi/pyshp>
_So when you want to write your own geospatial library with support for this protocol you may use pygeoif as a starting point and build your functionality on top of it
You may think of pygeoif as a 'shapely ultralight' which lets you construct geometries and perform very basic operations like reading and writing geometries from/to WKT, constructing line strings out of points, polygons from linear rings, multi polygons from polygons, etc. It was inspired by shapely and implements the geometries in a way that when you are familiar with shapely you feel right at home with pygeoif.
It was written to provide clean and python only geometries for fastkml_
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>>> from pygeoif import geometry
>>> p = geometry.Point(1,1)
>>> p.__geo_interface__
{'type': 'Point', 'bbox': (1, 1, 1, 1), 'coordinates': (1, 1)}
>>> print(p)
POINT (1 1)
>>> p
Point(1, 1)
>>> l = geometry.LineString([(0.0, 0.0), (1.0, 1.0)])
>>> l.bounds
(0.0, 0.0, 1.0, 1.0)
>>> print(l)
LINESTRING (0.0 0.0, 1.0 1.0)
You find more examples in the
tests <https://github.com/cleder/pygeoif/tree/main/pygeoif/tests>
directory which cover every aspect of pygeoif or in fastkml.
All classes implement the attribute:
__geo_interface__
: as discussed above, an interface to GeoJSON_.All geometry classes implement the attributes:
geom_type
: Returns a string specifying the Geometry Type of the objectbounds
: Returns a (minx, miny, maxx, maxy) tuple that bounds the object.wkt
: Returns the 'Well Known Text' representation of the objectFor two-dimensional geometries the following methods are implemented:
convex_hull
: Returns a representation of the smallest convex Polygon containing
all the points in the object unless the number of points in the object is less than three.
For two points, the convex hull collapses to a LineString; for 1, a Point.
For three dimensional objects only their projection in the xy plane is taken into consideration.
Empty objects without coordinates return None
for the convex_hull.A zero dimensional geometry
A point has zero length and zero area. A point cannot be empty.
Attributes
x, y, z : float
Coordinate values
Example
~~~~~~~~
>>> from pygeoif import Point
>>> p = Point(1.0, -1.0)
>>> print(p)
POINT (1.0 -1.0)
>>> p.y
-1.0
>>> p.x
1.0
LineString
-----------
A one-dimensional figure comprising one or more line segments
A LineString has non-zero length and zero area. It may approximate a curve
and need not be straight. Unlike a LinearRing, a LineString is not closed.
Attributes
geoms : sequence A sequence of Points
A closed one-dimensional geometry comprising one or more line segments
A LinearRing that crosses itself or touches itself at a single point is invalid and operations on it may fail.
A LinearRing is self closing.
A two-dimensional figure bounded by a linear ring
A polygon has a non-zero area. It may have one or more negative-space "holes" which are also bounded by linear rings. If any rings cross each other, the geometry is invalid and operations on it may fail.
Attributes
exterior : LinearRing
The ring which bounds the positive space of the polygon.
interiors : sequence
A sequence of rings which bound all existing holes.
maybe_valid: boolean
When a polygon has obvious problems such as self crossing
lines or holes that are outside the exterior bounds this will
return False. Even if this returns True the geometry may still be invalid,
but if this returns False you do have a problem.
MultiPoint
----------
A collection of one or more points.
Attributes
geoms : sequence A sequence of Points.
A collection of one or more line strings.
A MultiLineString has non-zero length and zero area.
Attributes
geoms : sequence
A sequence of LineStrings
MultiPolygon
-------------
A collection of one or more polygons.
Attributes
geoms : sequence
A sequence of Polygon
instances
A heterogenous collection of geometries (Points, LineStrings, LinearRings and Polygons).
Attributes
geoms : sequence
A sequence of geometry instances
Please note:
``GEOMETRYCOLLECTION`` isn't supported by the Shapefile or GeoJSON_ format.
And this sub-class isn't generally supported by ordinary GIS sw (viewers and so on).
So it's very rarely used in the real GIS professional world.
Example
~~~~~~~~
>>> from pygeoif import geometry
>>> p = geometry.Point(1.0, -1.0)
>>> p2 = geometry.Point(1.0, -1.0)
>>> geoms = [p, p2]
>>> c = geometry.GeometryCollection(geoms)
>>> [geom for geom in geoms]
[Point(1.0, -1.0), Point(1.0, -1.0)]
Feature
-------
Aggregates a geometry instance with associated user-defined properties.
Attributes
geometry : object A geometry instance properties : dict A dictionary linking field keys with values associated with with geometry instance
Example
>>> from pygeoif import Point, Feature
>>> p = Point(1.0, -1.0)
>>> props = {'Name': 'Sample Point', 'Other': 'Other Data'}
>>> a = Feature(p, props)
>>> a.properties
{'Name': 'Sample Point', 'Other': 'Other Data'}
>>> a.properties['Name']
'Sample Point'
FeatureCollection
-----------------
A heterogenous collection of Features
Attributes
features: sequence A sequence of feature instances
Example
>>> from pygeoif import Point, Feature, FeatureCollection
>>> p = Point(1.0, -1.0)
>>> props = {'Name': 'Sample Point', 'Other': 'Other Data'}
>>> a = Feature(p, props)
>>> p2 = Point(1.0, -1.0)
>>> props2 = {'Name': 'Sample Point2', 'Other': 'Other Data2'}
>>> b = Feature(p2, props2)
>>> features = [a, b]
>>> c = FeatureCollection(features)
>>> [feature for feature in c]
[Feature(Point(1.0, -1.0), {'Name': 'Sample Point', 'Other': 'Other Data'},...]
Functions
=========
shape
--------
Create a pygeoif feature from an object that provides the ``__geo_interface__``
or any GeoJSON_ compatible dictionary.
>>> from shapely.geometry import Point
>>> from pygeoif import geometry, shape
>>> shape(Point(0,0))
Point(0.0, 0.0)
from_wkt
---------
Create a geometry from its WKT representation
>>> from pygeoif import from_wkt
>>> p = from_wkt('POINT (0 1)')
>>> print(p)
POINT (0.0 1.0)
signed_area
------------
Return the signed area enclosed by a ring using the linear time
algorithm at http://www.cgafaq.info/wiki/Polygon_Area. A value >= 0
indicates a counter-clockwise oriented ring.
orient
-------
Returns a copy of a polygon with exteriors and interiors in the right orientation.
if ccw is True than the exterior will be in counterclockwise orientation
and the interiors will be in clockwise orientation, or
the other way round when ccw is False.
box
---
Return a rectangular polygon with configurable normal vector.
mapping
-------
Return the ``__geo_interface__`` dictionary.
Development
===========
Installation
------------
You can install PyGeoIf from pypi using pip::
pip install pygeoif
Testing
-------
Install the requirements with ``pip install -r test-requirements.txt``
and run the unit and static tests with::
pytest pygeoif
pytest --doctest-glob="README.rst"
yesqa pygeoif/*.py
black pygeoif
flake8 pygeoif
mypy pygeoif
pre-commit
Install the pre-commit
hook with::
pip install pre-commit
pre-commit install
and check the code with::
pre-commit run --all-files
The tests were improved with mutmut_ which discovered some nasty edge cases.
.. _mutmut: https://github.com/boxed/mutmut .. _GeoJSON: https://geojson.org/ .. _fastkml: http://pypi.python.org/pypi/fastkml/
shapely
__eq__
operator (==
)is_empty
and bool
__geo_interface__
output [jzmiller1]Development Status :: 5 - Production/Stable
Version | Tag | Published |
---|---|---|
1.0.0 | 4mos ago | |
1.0b13 | 5mos ago | |
1.0b12 | 5mos ago | |
1.0b11 | 1yr ago |