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PySpark get columns with null or missing values

# Find Count of Null, None, NaN of All DataFrame Columns
from pyspark.sql import functions as F
df.select([F.count(F.when(F.isnan(c) | F.col(c).isNull(), c)).alias(c) 
           for c in df.columns]).show()

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PySpark get columns with null or missing values

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