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PySpark Column | isNotNull method

schedule Aug 12, 2023
Last updated
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PySpark Column's isNotNull() method identifies rows where the value is not null.

Return Value

A PySpark Column (pyspark.sql.column.Column).

Examples

Consider the following PySpark DataFrame:

df = spark.createDataFrame([["Alex", 25], ["Bob", 30], ["Cathy", None]], ["name", "age"])
df.show()
+-----+----+
| name| age|
+-----+----+
| Alex| 25|
| Bob| 30|
|Cathy|null|
+-----+----+

Identifying rows where certain value is not null in PySpark DataFrame

To identify rows where the value for age is not null:

df.select(df.age.isNotNull()).show()
+-------------+
|(age IS NULL)|
+-------------+
| false|
| false|
| true|
+-------------+

Getting rows where certain value is not null in PySpark DataFrame

To get rows where the age field is not null:

df.filter(df.age.isNotNull()).show()
+----+---+
|name|age|
+----+---+
|Alex| 25|
| Bob| 30|
+----+---+

Here, the filter(~) extracts rows that correspond to True in the boolean column returned by isNotNull() method.

robocat
Published by Isshin Inada
Edited by 0 others
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