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PySpark DataFrame | describe method

Machine Learning
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PySpark
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PySpark DataFrame
schedule Jun 17, 2022
Last updated
local_offer PySpark
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PySpark DataFrame's describe(~) method returns a new PySpark DataFrame holding summary statistics of the specified columns.

Parameters

1. *cols | string | optional

By default, all numeric and string columns will be described.

Return Value

A PySpark DataFrame.

Examples

Consider the following PySpark DataFrame:

df = spark.createDataFrame([["Alex", 20], ["Bob", 25], ["Bob", 30]], ["name", "age"])
df.show()
+----+---+
|name|age|
+----+---+
|Alex| 20|
| Bob| 25|
| Bob| 30|
+----+---+

Getting summary statistics of certain columns in PySpark DataFrame

To get the summary statistics of the name and age columns:

df.describe("name","age").show()
+-------+----+----+
|summary|name| age|
+-------+----+----+
| count| 3| 3|
| mean|null|25.0|
| stddev|null| 5.0|
| min|Alex| 20|
| max| Bob| 30|
+-------+----+----+

Getting summary statistics of all numeric and string columns in PySpark DataFrame

To get the summary statistics of all numeric and string columns:

df.describe().show()
+-------+----+----+
|summary|name| age|
+-------+----+----+
| count| 3| 3|
| mean|null|25.0|
| stddev|null| 5.0|
| min|Alex| 20|
| max| Bob| 30|
+-------+----+----+
robocat
Published by Isshin Inada
Edited by 0 others
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