/usr/lib/python3/dist-packages/geopandas/base.py is in python3-geopandas 0.1.1-3.
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from shapely.geometry import MultiPoint, MultiLineString, MultiPolygon
from shapely.geometry.base import BaseGeometry
from shapely.ops import cascaded_union, unary_union
import shapely.affinity as affinity
import numpy as np
from pandas import Series, DataFrame
import geopandas as gpd
def _geo_op(this, other, op):
"""Operation that returns a GeoSeries"""
if isinstance(other, GeoPandasBase):
this = this.geometry
crs = this.crs
if crs != other.crs:
warn('GeoSeries crs mismatch: {0} and {1}'.format(this.crs,
other.crs))
this, other = this.align(other.geometry)
return gpd.GeoSeries([getattr(this_elem, op)(other_elem)
for this_elem, other_elem in zip(this, other)],
index=this.index, crs=crs)
else:
return gpd.GeoSeries([getattr(s, op)(other)
for s in this.geometry],
index=this.index, crs=this.crs)
# TODO: think about merging with _geo_op
def _series_op(this, other, op, **kwargs):
"""Geometric operation that returns a pandas Series"""
if isinstance(other, GeoPandasBase):
this = this.geometry
this, other = this.align(other.geometry)
return Series([getattr(this_elem, op)(other_elem, **kwargs)
for this_elem, other_elem in zip(this, other)],
index=this.index)
else:
return Series([getattr(s, op)(other, **kwargs)
for s in this.geometry], index=this.index)
def _geo_unary_op(this, op):
"""Unary operation that returns a GeoSeries"""
return gpd.GeoSeries([getattr(geom, op) for geom in this.geometry],
index=this.index, crs=this.crs)
def _series_unary_op(this, op):
"""Unary operation that returns a Series"""
return Series([getattr(geom, op) for geom in this.geometry],
index=this.index)
class GeoPandasBase(object):
@property
def area(self):
"""Return the area of each geometry in the GeoSeries"""
return _series_unary_op(self, 'area')
@property
def geom_type(self):
"""Return the geometry type of each geometry in the GeoSeries"""
return _series_unary_op(self, 'geom_type')
@property
def type(self):
"""Return the geometry type of each geometry in the GeoSeries"""
return self.geom_type
@property
def length(self):
"""Return the length of each geometry in the GeoSeries"""
return _series_unary_op(self, 'length')
@property
def is_valid(self):
"""Return True for each valid geometry, else False"""
return _series_unary_op(self, 'is_valid')
@property
def is_empty(self):
"""Return True for each empty geometry, False for non-empty"""
return _series_unary_op(self, 'is_empty')
@property
def is_simple(self):
"""Return True for each simple geometry, else False"""
return _series_unary_op(self, 'is_simple')
@property
def is_ring(self):
"""Return True for each geometry that is a closed ring, else False"""
# operates on the exterior, so can't use _series_unary_op()
return Series([geom.exterior.is_ring for geom in self.geometry],
index=self.index)
#
# Unary operations that return a GeoSeries
#
@property
def boundary(self):
"""Return the bounding geometry for each geometry"""
return _geo_unary_op(self, 'boundary')
@property
def centroid(self):
"""Return the centroid of each geometry in the GeoSeries"""
return _geo_unary_op(self, 'centroid')
@property
def convex_hull(self):
"""Return the convex hull of each geometry"""
return _geo_unary_op(self, 'convex_hull')
@property
def envelope(self):
"""Return a bounding rectangle for each geometry"""
return _geo_unary_op(self, 'envelope')
@property
def exterior(self):
"""Return the outer boundary of each polygon"""
# TODO: return empty geometry for non-polygons
return _geo_unary_op(self, 'exterior')
@property
def interiors(self):
"""Return the interior rings of each polygon"""
# TODO: return empty list or None for non-polygons
return _geo_unary_op(self, 'interiors')
def representative_point(self):
"""Return a GeoSeries of points guaranteed to be in each geometry"""
return gpd.GeoSeries([geom.representative_point()
for geom in self.geometry],
index=self.index)
#
# Reduction operations that return a Shapely geometry
#
@property
def cascaded_union(self):
"""Deprecated: Return the unary_union of all geometries"""
return cascaded_union(self.values)
@property
def unary_union(self):
"""Return the union of all geometries"""
return unary_union(self.values)
#
# Binary operations that return a pandas Series
#
def contains(self, other):
"""Return True for all geometries that contain *other*, else False"""
return _series_op(self, other, 'contains')
def geom_equals(self, other):
"""Return True for all geometries that equal *other*, else False"""
return _series_op(self, other, 'equals')
def geom_almost_equals(self, other, decimal=6):
"""Return True for all geometries that is approximately equal to *other*, else False"""
# TODO: pass precision argument
return _series_op(self, other, 'almost_equals', decimal=decimal)
def geom_equals_exact(self, other, tolerance):
"""Return True for all geometries that equal *other* to a given tolerance, else False"""
# TODO: pass tolerance argument.
return _series_op(self, other, 'equals_exact', tolerance=tolerance)
def crosses(self, other):
"""Return True for all geometries that cross *other*, else False"""
return _series_op(self, other, 'crosses')
def disjoint(self, other):
"""Return True for all geometries that are disjoint with *other*, else False"""
return _series_op(self, other, 'disjoint')
def intersects(self, other):
"""Return True for all geometries that intersect *other*, else False"""
return _series_op(self, other, 'intersects')
def overlaps(self, other):
"""Return True for all geometries that overlap *other*, else False"""
return _series_op(self, other, 'overlaps')
def touches(self, other):
"""Return True for all geometries that touch *other*, else False"""
return _series_op(self, other, 'touches')
def within(self, other):
"""Return True for all geometries that are within *other*, else False"""
return _series_op(self, other, 'within')
def distance(self, other):
"""Return distance of each geometry to *other*"""
return _series_op(self, other, 'distance')
#
# Binary operations that return a GeoSeries
#
def difference(self, other):
"""Return the set-theoretic difference of each geometry with *other*"""
return _geo_op(self, other, 'difference')
def symmetric_difference(self, other):
"""Return the symmetric difference of each geometry with *other*"""
return _geo_op(self, other, 'symmetric_difference')
def union(self, other):
"""Return the set-theoretic union of each geometry with *other*"""
return _geo_op(self, other, 'union')
def intersection(self, other):
"""Return the set-theoretic intersection of each geometry with *other*"""
return _geo_op(self, other, 'intersection')
#
# Other operations
#
@property
def bounds(self):
"""Return a DataFrame of minx, miny, maxx, maxy values of geometry objects"""
bounds = np.array([geom.bounds for geom in self.geometry])
return DataFrame(bounds,
columns=['minx', 'miny', 'maxx', 'maxy'],
index=self.index)
@property
def total_bounds(self):
"""Return a single bounding box (minx, miny, maxx, maxy) for all geometries
This is a shortcut for calculating the min/max x and y bounds individually.
"""
b = self.bounds
return (b['minx'].min(),
b['miny'].min(),
b['maxx'].max(),
b['maxy'].max())
def buffer(self, distance, resolution=16):
return gpd.GeoSeries([geom.buffer(distance, resolution)
for geom in self.geometry],
index=self.index, crs=self.crs)
def simplify(self, *args, **kwargs):
return gpd.GeoSeries([geom.simplify(*args, **kwargs)
for geom in self.geometry],
index=self.index, crs=self.crs)
def relate(self, other):
raise NotImplementedError
def project(self, other, normalized=False):
"""
Return the distance along each geometry nearest to *other*
Parameters
----------
other : BaseGeometry or GeoSeries
The *other* geometry to computed projected point from.
normalized : boolean
If normalized is True, return the distance normalized to
the length of the object.
The project method is the inverse of interpolate.
"""
return _series_op(self, other, 'project', normalized=normalized)
def interpolate(self, distance, normalized=False):
"""
Return a point at the specified distance along each geometry
Parameters
----------
distance : float or Series of floats
Distance(s) along the geometries at which a point should be returned
normalized : boolean
If normalized is True, distance will be interpreted as a fraction
of the geometric object's length.
"""
return gpd.GeoSeries([s.interpolate(distance, normalized)
for s in self.geometry],
index=self.index, crs=self.crs)
def translate(self, xoff=0.0, yoff=0.0, zoff=0.0):
"""
Shift the coordinates of the GeoSeries.
Parameters
----------
xoff, yoff, zoff : float, float, float
Amount of offset along each dimension.
xoff, yoff, and zoff for translation along the x, y, and z
dimensions respectively.
See shapely manual for more information:
http://toblerity.org/shapely/manual.html#affine-transformations
"""
return gpd.GeoSeries([affinity.translate(s, xoff, yoff, zoff)
for s in self.geometry],
index=self.index, crs=self.crs)
def rotate(self, angle, origin='center', use_radians=False):
"""
Rotate the coordinates of the GeoSeries.
Parameters
----------
angle : float
The angle of rotation can be specified in either degrees (default)
or radians by setting use_radians=True. Positive angles are
counter-clockwise and negative are clockwise rotations.
origin : string, Point, or tuple (x, y)
The point of origin can be a keyword 'center' for the bounding box
center (default), 'centroid' for the geometry's centroid, a Point
object or a coordinate tuple (x, y).
use_radians : boolean
Whether to interpret the angle of rotation as degrees or radians
See shapely manual for more information:
http://toblerity.org/shapely/manual.html#affine-transformations
"""
return gpd.GeoSeries([affinity.rotate(s, angle, origin=origin,
use_radians=use_radians) for s in self.geometry],
index=self.index, crs=self.crs)
def scale(self, xfact=1.0, yfact=1.0, zfact=1.0, origin='center'):
"""
Scale the geometries of the GeoSeries along each (x, y, z) dimension.
Parameters
----------
xfact, yfact, zfact : float, float, float
Scaling factors for the x, y, and z dimensions respectively.
origin : string, Point, or tuple
The point of origin can be a keyword 'center' for the 2D bounding
box center (default), 'centroid' for the geometry's 2D centroid, a
Point object or a coordinate tuple (x, y, z).
Note: Negative scale factors will mirror or reflect coordinates.
See shapely manual for more information:
http://toblerity.org/shapely/manual.html#affine-transformations
"""
return gpd.GeoSeries([affinity.scale(s, xfact, yfact, zfact,
origin=origin) for s in self.geometry], index=self.index,
crs=self.crs)
def skew(self, xs=0.0, ys=0.0, origin='center', use_radians=False):
"""
Shear/Skew the geometries of the GeoSeries by angles along x and y dimensions.
Parameters
----------
xs, ys : float, float
The shear angle(s) for the x and y axes respectively. These can be
specified in either degrees (default) or radians by setting
use_radians=True.
origin : string, Point, or tuple (x, y)
The point of origin can be a keyword 'center' for the bounding box
center (default), 'centroid' for the geometry's centroid, a Point
object or a coordinate tuple (x, y).
use_radians : boolean
Whether to interpret the shear angle(s) as degrees or radians
See shapely manual for more information:
http://toblerity.org/shapely/manual.html#affine-transformations
"""
return gpd.GeoSeries([affinity.skew(s, xs, ys, origin=origin,
use_radians=use_radians) for s in self.geometry],
index=self.index, crs=self.crs)
def _array_input(arr):
if isinstance(arr, (MultiPoint, MultiLineString, MultiPolygon)):
# Prevent against improper length detection when input is a
# Multi*
geom = arr
arr = np.empty(1, dtype=object)
arr[0] = geom
return arr
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