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 | count method
schedule Aug 12, 2023
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PySpark DataFrame's count(~)
method returns the number of rows of the DataFrame.
Parameters
This method does not take in any parameters.
Return Value
An integer.
Examples
Consider the following PySpark DataFrame:
+-----+---+| name|age|+-----+---+| Alex| 20|| Bob| 24||Cathy| 22|+-----+---+
Getting the number of rows of a PySpark DataFrame
To get the number of rows of the DataFrame:
df.count()
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Published by Isshin Inada
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Official PySpark Documentation
https://spark.apache.org/docs/latest/api/python/reference/api/pyspark.sql.DataFrame.count.html
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