Hi @Alexis​ ,

Thanks for quick response. It above method didn't worked but reading using spark and appending to Pandas it worked.

Here are the steps that i followed.

df1 = spark.read.format("csv").option("header", "true").load("dbfs:/FileStore/shared_uploads/kumarpalle/Covid19Europedata-1.csv").toPandas()

df1.head()