pyspark.sql.functions.isnan#

pyspark.sql.functions.isnan(col)[source]#

An expression that returns true if the column is NaN.

New in version 1.6.0.

Changed in version 3.4.0: Supports Spark Connect.

Parameters

colColumn or column name

target column to compute on.

Returns

Column

True if value is NaN and False otherwise.

Examples

>>> from pyspark.sql import functions as sf
>>> df = spark.createDataFrame([(1.0, float('nan')), (float('nan'), 2.0)], ("a", "b"))
>>> df.select("*", sf.isnan("a"), sf.isnan(df.b)).show()
+---+---+--------+--------+
|  a|  b|isnan(a)|isnan(b)|
+---+---+--------+--------+
|1.0|NaN|   false|    true|
|NaN|2.0|    true|   false|
+---+---+--------+--------+