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 | toPandas method
schedule Aug 12, 2023
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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:
+-----+---+| 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 age0 Alex 201 Bob 242 Cathy 22
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.toPandas.html
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