PySpark
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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 | head method
schedule Aug 12, 2023
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PySpark DataFrame's head(~) method returns the first n number of rows as Row objects.
Parameters
1. n | int | optional
The number of rows to return. By default, n=1.
Return Value
If
nis larger than 1, then a list ofRowobjects is returnedif
nis equal to 1, then a singleRowobject (pyspark.sql.types.Row) is returned
Examples
Consider the following PySpark DataFrame:
columns = ["name", "age"]data = [("Alex", 15), ("Bob", 20), ("Cathy", 25)]
+-----+---+| name|age|+-----+---+| Alex| 15|| Bob| 20||Cathy| 25|+-----+---+
Getting the first row of PySpark DataFrame as a Row object
To get the first row as a Row object:
df.head()
Row(name='Alex', age=15)
Getting a list of first n Row objects of PySpark DataFrame
To get the first two rows as a list of Row objects:
df.head(n=2)
[Row(name='Alex', age=15), Row(name='Bob', age=20)]
Published by Isshin Inada
Edited by 0 others
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