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ParametersReturn ValueExamplesGetting all distinct rows of PySpark DataFrameCounting the number of distinct rows of PySpark DataFrame
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PySpark DataFrame | distinct method

schedule Aug 12, 2023
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PySpark DataFrame's distinct() method returns a new DataFrame containing distinct rows.

Parameters

This method does not take in any parameters.

Return Value

A PySpark DataFrame (pyspark.sql.dataframe.DataFrame).

Examples

Consider the following PySpark DataFrame:

df = spark.createDataFrame([["Alex", 25], ["Bob", 30], ["Alex", 25], ["Alex", 50]], ["name", "age"])
df.show()
+----+---+
|name|age|
+----+---+
|Alex| 25|
| Bob| 30|
|Alex| 25|
|Alex| 50|
+----+---+

Getting all distinct rows of PySpark DataFrame

To get all distinct rows of a PySpark DataFrame, use the distinct() method:

df.distinct().show()
+----+---+
|name|age|
+----+---+
|Alex| 25|
| Bob| 30|
|Alex| 50|
+----+---+

Counting the number of distinct rows of PySpark DataFrame

To count the number of distinct rows of a PySpark DataFrame:

df.distinct().count()
3
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Published by Isshin Inada
Edited by 0 others
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Official PySpark Documention
https://spark.apache.org/docs/latest/api/python/reference/api/pyspark.sql.DataFrame.distinct.html
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