pyspark.sql.DataFrame.na¶

property DataFrame.na¶

Returns a DataFrameNaFunctions for handling missing values.

New in version 1.3.1.

Changed in version 3.4.0: Supports Spark Connect.

Returns

Examples

>>> df = spark.sql("SELECT 1 AS c1, int(NULL) AS c2")
>>> type(df.na)
<class '...dataframe.DataFrameNaFunctions'>

Replace the missing values as 2.

>>> df.na.fill(2).show()
+---+---+
| c1| c2|
+---+---+
|  1|  2|
+---+---+