Hey there!
You can use the select method of the dataframe to filter out the values.
df.select([count(when(isnull(c), c)).alias(c) for c in df.columns]).show()
This will display a table with column names and the number of Null values in each column.
If you want to check Null values for a column, then you can use the below code:
df.where(df.col("<Enter column name here>").isNull).count()