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ParametersReturn ValueExamplesGetting summary statistics of certain columns in PySpark DataFrameGetting summary statistics of all numeric and string columns in PySpark DataFrame Related
chevron_left PySpark DataFrame
Method aliasMethod coalesceMethod collectMethod colRegexMethod corrMethod countMethod covMethod describeMethod distinctMethod dropMethod dropDuplicatesMethod dropnaMethod exceptAllMethod fillnaMethod filterMethod foreachMethod groupByMethod headMethod intersectMethod intersectAllMethod joinMethod limitMethod orderByMethod printSchemaMethod randomSplitMethod repartitionMethod replaceMethod sampleMethod sampleByMethod selectMethod selectExprMethod showMethod sortMethod summaryMethod tailMethod takeMethod toDFMethod toJSONMethod toPandasMethod transformMethod unionMethod unionByNameMethod whereMethod withColumnMethod withColumnRenamedProperty columnsProperty dtypesProperty rdd
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chevron_left PySpark DataFrame
Method aliasMethod coalesceMethod collectMethod colRegexMethod corrMethod countMethod covMethod describeMethod distinctMethod dropMethod dropDuplicatesMethod dropnaMethod exceptAllMethod fillnaMethod filterMethod foreachMethod groupByMethod headMethod intersectMethod intersectAllMethod joinMethod limitMethod orderByMethod printSchemaMethod randomSplitMethod repartitionMethod replaceMethod sampleMethod sampleByMethod selectMethod selectExprMethod showMethod sortMethod summaryMethod tailMethod takeMethod toDFMethod toJSONMethod toPandasMethod transformMethod unionMethod unionByNameMethod whereMethod withColumnMethod withColumnRenamedProperty columnsProperty dtypesProperty rdd
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PySpark DataFrame | describe method

Machine Learning
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PySpark DataFrame
schedule Jul 1, 2022
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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|
+-------+----+----+

Related

PySpark DataFrame | summary method
PySpark DataFrame's summary(~) method returns a PySpark DataFrame containing basic summary statistics of numeric columns.
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Published by Isshin Inada
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