pyspark.sql.DataFrameNaFunctions¶

class pyspark.sql.DataFrameNaFunctions(df)[source]¶

Functionality for working with missing data in DataFrame.

New in version 1.4.

Methods

`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.