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

This isnt quite a full summary, but it will give you a quick sense of your column level data

def getPctMissing(series):
    num = series.isnull().sum()
    den = series.count()
    return 100*(num/den)