pyspark.sql.DataFrameNaFunctions

class pyspark.sql.DataFrameNaFunctions(df)

Functionality for working with missing data in DataFrame.

New in version 1.4.

__init__(df)

Initialize self. See help(type(self)) for accurate signature.

Methods

__init__(df)	Initialize self.
drop([how, thresh, subset])	Returns a new DataFrame omitting rows with null values.
fill(value[, subset])	Replace null values, alias for na.fill().
replace(to_replace[, value, subset])	Returns a new DataFrame replacing a value with another value.

pyspark.sql.GroupedData pyspark.sql.DataFrameStatFunctions