ST_Shear

1
2
3
4
5
6
7
8
9
10
11
12
13
from geoanalytics_fabric.sql import functions as ST

data = [("POLYGON ((0 0, 0 5, 5 5, 5 0, 0 0))", )]

df = spark.createDataFrame(data, ["wkt"]) \
          .withColumn("geometry", ST.poly_from_text("wkt", srid=4326))

df_shear = df.select(ST.shear("geometry", proportion_x=0.5, proportion_y=0.5).alias("shear"))

ax = df.st.plot("geometry", facecolor="none", edgecolor="red")
df_shear.st.plot(ax=ax, facecolor="none", edgecolor="blue")

1
2
3
4
5
6
7
8
9
10
11
12
13
import com.esri.geoanalytics.sql.{functions => ST}
import org.apache.spark.sql.{functions => F}

case class GeometryRow(wkt: String)
val data = Seq(GeometryRow("POLYGON ((0 0, 0 5, 5 5, 5 0, 0 0))"))

val df = spark.createDataFrame(data)
              .withColumn("geometry", ST.geomFromText($"wkt", F.lit(4326)))
              .select(ST.shear($"geometry", 0.5, 0.5).alias("shear"))

df.show(truncate = false)

1
2
3
4
5
+---------------------------------------------------+
|shear                                              |
+---------------------------------------------------+
|{"rings":[[[0,0],[2.5,5],[7.5,7.5],[5,2.5],[0,0]]]}|
+---------------------------------------------------+