I am trying to find what is the correct way to programmatically check for
null values for rows in a dataframe. For example, below is the code using
pyspark and sql:
df = sqlContext.createDataFrame(sc.parallelize([(1, None), (2, "a"), (3,
"b"), (4, None)]))
df.where('_2 is not null').count()
However, this won't work
df.where(df._2 != None).count()
It seems there is no native Python way with DataFrames to do this, but I
find that difficult to believe and more likely that I am missing the "right
way" to do this.
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