Hi @Shambhu Rai ,
Thankyou for using Microsoft Q&A platform and thanks for posting your question here.
You can use
df.na.fill
to achieve this requirement. In Spark, fill() function of DataFrameNaFunctions class is used to replace NULL values on the DataFrame column with either with zero(0), empty string, space, or any constant literal values.
For more details, kindly visit : Spark Replace NULL Values on DataFrame
Hope this will help. Please let us know if any further queries.
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