figure - stock prices in in [ ]close_px['aapl'ix[' - ':' - 'plot(quarterly frequency data is also more nicely formatted with quarterly markerssomething that would be quite bit more work to do by hand see figure - in [ ]appl_q close_px['aapl'resample(' -dec'fill_method='ffill'in [ ]appl_q ix[' ':plot( last feature of time series plotting in pandas is that by right-clicking and dragging to zoom in and outthe dates will be dynamically expanded or contracted and reformatting depending on the timespan contained in the plot view this is of course only true when using matplotlib in interactive mode moving window functions common class of array transformations intended for time series operations are statistics and other functions evaluated over sliding window or with exponentially de time series www it-ebooks info