GeoDataFrame.affine_transform

Return a GeoSeries with transformed geometries. The coefficient matrix is provided as an ordered sequence with 6 or 12 items for 2D or 3D transformations, respectively. For a 2D affine transformation, matrix is [a, b, d, e, xoff, yoff] and the transformed coordinates are:

x' = a * x + b * y + xoff
y' = d * x + e * y + yoff

For a 3D affine transformation, matrix is [a, b, c, d, e, f, g, h, i, xoff, yoff, zoff] and the transformed coordinates are:

x' = a * x + b * y + c * z + xoff
y' = d * x + e * y + f * z + yoff
z' = g * x + h * y + i * z + zoff

Signature

affine_transform(matrix)

Parameters

sequence of float

required

Six or twelve coefficients for a 2D or 3D affine transformation.

Returns

GeoSeries

The transformed geometries.

Results for mixed 2D/3D GeometryCollection objects, M or ZM ordinates, and NaN Z coordinates may differ from GeoPandas because Sedona uses JTS while GeoPandas uses Shapely. This method applies Sedona’s distributed semantics and does not materialize geometries locally to emulate Shapely.

Examples

>>> from shapely.geometry import Point, LineString
>>> from sedona.spark.geopandas import GeoSeries
>>> s = GeoSeries([Point(1, 1), LineString([(1, -1), (1, 0)])])
>>> s.affine_transform([0, 1, 1, 0, 0, 0])
0                   POINT (1 1)
1    LINESTRING (-1 1, 0 1)
dtype: geometry

​Signature

​Parameters

​Returns

​Examples

Signature

Parameters

Returns

Examples