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PySpark DataFrame | toPandas method

schedule Aug 12, 2023
Last updated
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PySpark DataFrame's toPandas(~) method converts a PySpark DataFrame into a Pandas DataFrame.

WARNING

Watch out for the following:

  • All the data from the worker nodes are transferred to the Driver, and so make sure that your Driver has sufficient memory.

  • Driver must have the Pandas libraries installed.

Parameters

This method does not take in any parameters.

Return Value

A Pandas DataFrame.

Examples

Consider the following DataFrame:

df = spark.createDataFrame([["Alex", 20], ["Bob", 24], ["Cathy", 22]], ["name", "age"])
df.show()
+-----+---+
| name|age|
+-----+---+
| Alex| 20|
| Bob| 24|
|Cathy| 22|
+-----+---+

Converting a PySpark DataFrame into a Pandas DataFrame

To convert this PySpark DataFrame into a Pandas DataFrame:

df.toPandas()
name age
0 Alex 20
1 Bob 24
2 Cathy 22
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Published by Isshin Inada
Edited by 0 others
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