pyspark.sql.Column.isNaN#
- Column.isNaN()[source]#
- True if the current expression is NaN. - New in version 4.0.0. - Examples - >>> from pyspark.sql import Row >>> df = spark.createDataFrame( ... [Row(name='Tom', height=80.0), Row(name='Alice', height=float('nan'))]) >>> df.filter(df.height.isNaN()).collect() [Row(name='Alice', height=nan)]