How do I get a summary count of missing/NaN data by column in 'pandas'?

Question

In R I can quickly see a count of missing data using the summary command, but the equivalent pandas DataFrame method, describe

Answer 1

As a tiny addition, to get percentage missing by DataFrame column, combining @Jeff and @userS's answers above gets you:

df.isnull().sum()/len(df)*100