Validating DataFrames in pandas

You may ingest a time series into a DataFrame in pandas. 

You may then need to access part of that DataFrame using something like dataframe.iloc[0] where the aforementioned command gives the row at position 0. 

However, what if that row is empty? There is a predicate dataframe.empty you can use as follows: 

if df.empty:

    print "DataFrame is empty"

DataFrames are like spreadsheets or SQL tables. They are the most commonly used data structures in pandas, and like a spreadsheet, columns don't need to be of the same type.