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Returns a double value, the value zero if no match is found, or NaN if a match is found but the value is non-numeric.
Syntax
from pyspark.sql import functions as sf
sf.xpath_double(xml, path)
Parameters
| Parameter | Type | Description |
|---|---|---|
xml |
pyspark.sql.Column or str |
XML column or column name. |
path |
pyspark.sql.Column or str |
XPath expression. |
Examples
from pyspark.sql import functions as sf
df = spark.createDataFrame([('<a><b>1</b><b>2</b></a>',)], ['x'])
df.select(sf.xpath_double(df.x, sf.lit('sum(a/b)'))).show()
+-------------------------+
|xpath_double(x, sum(a/b))|
+-------------------------+
| 3.0|
+-------------------------+