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PySpark Column | isNull method

Machine Learning
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PySpark
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PySpark Column
schedule Jul 1, 2022
Last updated
local_offer PySpark
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PySpark Column's isNull() method identifies rows where the value is 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 null in PySpark DataFrame

To identify rows where the value for age is null:

df.select(df.age.isNull()).show()
+-----------------+
|(age IS NOT NULL)|
+-----------------+
| true|
| true|
| false|
+-----------------+

Getting rows where certain value is null in PySpark DataFrame

To get rows where the value for age is null:

df.filter(df.age.isNull()).show()
+-----+----+
| name| age|
+-----+----+
|Cathy|null|
+-----+----+

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

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Published by Isshin Inada
Edited by 0 others
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