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

Getting the minimum value of a PySpark column

To obtain the minimum age:


        
        
            
                
                
                    import pyspark.sql.functions as F
df.select(F.min("age")).show()
                
            
            +--------+
|min(age)|
+--------+
|      25|
+--------+

To get the minimum value as an integer:


        
        
            
                
                
                    list_rows = df.select(F.min("age")).collect()
list_rows[0][0]
                
            
            25

Note the following:

the collect() method converts the PySpark DataFrame returned by select(~) to a list of Row objects.
this list will always be of length one when we apply the min(~) method.
the content of the Row object can be accessed using [0].

Getting the minimum value of each group in PySpark

Consider the following PySpark DataFrame:


        
        
            
                
                
                    df = spark.createDataFrame([["Alex", 20, "A"],\
                            ["Bob", 30, "B"],\
                            ["Cathy", 50, "A"]],
                            ["name", "age", "class"])
df.show()
                
            
            +-----+---+-----+
| name|age|class|
+-----+---+-----+
| Alex| 20|    A|
|  Bob| 30|    B|
|Cathy| 50|    A|
+-----+---+-----+

To get the minimum age of each class:


        
        
            
                
                
                    df.groupby("class").agg(F.min("age").alias("MIN AGE")).show()
                
            
            +-----+-------+
|class|MIN AGE|
+-----+-------+
|    A|     20|
|    B|     30|
+-----+-------+

Here, the alias(~) method is used to assign a label to the aggregated age column.

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.min.html

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