ST_MaxM

ST_MaxM takes a geometry column and returns a double column. The output column contains the maximum m-value of each input geometry. If the input geometry does not have m-values the function will return NaN.

FunctionSyntax
Pythonmax_m(geometry)
SQLST_MaxM(geometry)
ScalamaxM(geometry)

For more details, go to the GeoAnalytics Engine API reference for max_m.

Examples

PythonPythonSQLScala
Use dark colors for code blocksCopy
1
2
3
4
5
6
7
8
9
10
from geoanalytics.sql import functions as ST

line_json = '{"paths": [[[0, 51, 801, 5],[1, 51, 129, 6],[2, 52, 206, 4]]], "hasM":true, "hasZ":true}'

df = spark.createDataFrame([(line_json, )], ["line_json"]) \
    .withColumn("geometry", ST.line_from_esri_json("line_json"))

df.select(ST.max_m("geometry").alias("max_m")).show()
Result
Use dark colors for code blocksCopy
1
2
3
4
5
+-----+
|max_m|
+-----+
|  6.0|
+-----+

Version table

ReleaseNotes

1.0.0

Python and SQL functions introduced

1.5.0

Scala function introduced

Your browser is no longer supported. Please upgrade your browser for the best experience. See our browser deprecation post for more details.