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ParametersReturn ValueExamplesGetting a subset of rows of a PySpark DataFrame using limit
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PySpark DataFrame | limit method

schedule Aug 12, 2023
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PySpark DataFrame's limit(~) method returns a new DataFrame with the number of rows specified.

Parameters

1. num | number

The desired number of rows returned.

Return Value

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

Examples

Consider the following PySpark DataFrame:

columns = ["name", "age"]
data = [("Alex", 15), ("Bob", 20), ("Cathy", 25)]
df = spark.createDataFrame(data, columns)
df.show()
+-----+-----+
| name| age|
+-----+-----+
| Alex| 15|
| Bob| 20|
|Cathy| 25|
+-----+-----+

Getting a subset of rows of a PySpark DataFrame using limit

To limit the number of rows returned to 2:

df.limit(2).show()
+----+----+
| age|name|
+----+----+
|Alex| 15|
| Bob| 20|
+----+----+

Note that show(~) method actually has a parameter that limits the number of rows printed:

df.show(n=2)
+----+----+
| age|name|
+----+----+
|Alex| 15|
| Bob| 20|
+----+----+
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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.DataFrame.limit.html#pyspark.sql.DataFrame.limit
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