pyspark.sql.functions.isnan

pyspark.sql.functions.isnan(col: ColumnOrName) → pyspark.sql.column.Column

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 str

target column to compute on.

Returns

Column

True if value is NaN and False otherwise.

Examples

>>> df = spark.createDataFrame([(1.0, float('nan')), (float('nan'), 2.0)], ("a", "b"))
>>> df.select("a", "b", isnan("a").alias("r1"), isnan(df.b).alias("r2")).show()
+---+---+-----+-----+
|  a|  b|   r1|   r2|
+---+---+-----+-----+
|1.0|NaN|false| true|
|NaN|2.0| true|false|
+---+---+-----+-----+

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