out[ ]index([dbac]dtype=objectcompared with regular numpy arrayyou can use values in the index when selecting single values or set of valuesin [ ]obj [' 'out[ ]- in [ ]obj [' ' in [ ]obj [[' '' '' ']out[ ] - numpy array operationssuch as filtering with boolean arrayscalar multiplicationor applying math functionswill preserve the index-value linkin [ ]obj out[ ] - in [ ]obj [obj out[ ] in [ ]obj out[ ] - in [ ]np exp(obj out[ ] another way to think about series is as fixed-lengthordered dictas it is mapping of index values to data values it can be substituted into many functions that expect dictin [ ]'bin obj out[ ]true in [ ]'ein obj out[ ]false should you have data contained in python dictyou can create series from it by passing the dictin [ ]sdata {'ohio' 'texas' 'oregon' 'utah' in [ ]obj series(sdatain [ ]obj out[ ]ohio oregon introduction to pandas data structures www it-ebooks info