[Solved] How to get a list view of columns and % of nans/nulls in Pyspark?

Question

replace null_df.show() with :

for i,j in null_df.first().asDict().items():
    print(i,j)

Accepted Answer

replace null_df.show() with :

for i,j in null_df.first().asDict().items():
    print(i,j)