pandas dataframe drop columns by number of nan

Question

I have a dataframe with some columns containing nan. I\'d like to drop those columns with certain number of nan. For example, in the following code, I\'d like to drop any co

Answer 1

Say you have to drop columns having more than 70% null values.

data.drop(data.loc[:,list((100*(data.isnull().sum()/len(data.index))>70))].columns, 1)