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Method arrayMethod colMethod collect_listMethod collect_setMethod concatMethod concat_wsMethod countMethod count_distinctMethod countDistinctMethod date_addMethod date_formatMethod dayofmonthMethod dayofweekMethod dayofyearMethod element_atMethod explodeMethod exprMethod firstMethod greatestMethod instrMethod isnanMethod lastMethod leastMethod lengthMethod litMethod lowerMethod maxMethod meanMethod minMethod monthMethod regexp_extractMethod regexp_replaceMethod repeatMethod roundMethod splitMethod to_dateMethod translateMethod trimMethod upperMethod whenMethod year
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PySpark SQL Functions | countDistinct method
schedule Aug 12, 2023
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PySpark SQL Functions' countDistinct(~)
method returns the distinct number of rows for the specified columns.
Parameters
1. col
| string
or Column
The column to consider when counting distinct rows.
2. *col
| string
or Column
| optional
The additional columns to consider when counting distinct rows.
Return Value
A PySpark Column (pyspark.sql.column.Column
).
Examples
Consider the following PySpark DataFrame:
df = spark.createDataFrame([["Alex", 25], ["Bob", 30], ["Alex", 25], ["Alex", 50]], ["name", "age"])
+----+---+|name|age|+----+---+|Alex| 25|| Bob| 30||Alex| 25||Alex| 50|+----+---+
Counting the number of distinct values in single PySpark column
To count the number of distinct rows in the column name
:
Note that instead of passing in the column label ("name"
), you can pass in a Column
object like so:
Counting the number of distinct values in multiple PySpark columns
To consider the columns name
and age
when counting duplicate rows:
Counting the number of distinct rows in PySpark DataFrame
To consider all columns when counting duplicate rows, pass in "*"
:
Published by Isshin Inada
Edited by 0 others
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Official PySpark Documentation
https://spark.apache.org/docs/latest/api/python/reference/api/pyspark.sql.functions.countDistinct.html
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