Filter Pyspark dataframe column with None value

Question

I\'m trying to filter a PySpark dataframe that has None as a row value:

df.select(\'dt_mvmt\').distinct().collect()

[Row(dt_mvmt=u\'2016-03-27\         


        

Answer 1

If you want to filter out records having None value in column then see below example:

df=spark.createDataFrame([[123,"abc"],[234,"fre"],[345,None]],["a","b"])

Now filter out null value records:

df=df.filter(df.b.isNotNull())

df.show()

If you want to remove those records from DF then see below:

df1=df.na.drop(subset=['b'])

df1.show()