table - for full listing of plot options 'll comment on few more of them throughout this section and leave the rest to you to explore most of pandas' plotting methods accept an optional ax parameterwhich can be matplotlib subplot object this gives you more flexible placement of subplots in grid layout there will be more on this in the later section on the matplotlib api dataframe' plot method plots each of its columns as different line on the same subplotcreating legend automatically (see figure - )in [ ]df dataframe(np random randn( cumsum( )columns=[' '' '' '' ']index=np arange( )in [ ]df plot(additional keyword arguments to plot are passed through to the respective matplotlib plotting functionso you can further customize these plots by learning more about the matplotlib api table - series plot method arguments argument description label label for plot legend ax matplotlib subplot object to plot on if nothing passeduses active matplotlib subplot style style stringlike 'ko--'to be passed to matplotlib alpha the plot fill opacity (from to plotting functions in pandas www it-ebooks info