length freqdtimezonenone frequencies and date offsets frequencies in pandas are composed of base frequency and multiplier base frequencies are typically referred to by string aliaslike 'mfor monthly or 'hfor hourly for each base frequencythere is an object defined generally referred to as date offset for examplehourly frequency can be represented with the hour classin [ ]from pandas tseries offsets import hourminute in [ ]hour hour(in [ ]hour out[ ]you can define multiple of an offset by passing an integerin [ ]four_hours hour( in [ ]four_hours out[ ]in most applicationsyou would never need to explicitly create one of these objectsinstead using string alias like 'hor ' hputting an integer before the base frequency creates multiplein [ ]pd date_range('' : 'freq=' 'out[ ] : : : : length freq htimezonenone many offsets can be combined together by additionin [ ]hour( minute( out[ ]similarlyyou can pass frequency strings like ' minwhich will effectively be parsed to the same expressionin [ ]pd date_range(''periods= freq=' min'out[ ] : : : : length freq ttimezonenone some frequencies describe points in time that are not evenly spaced for example' (calendar month endand 'bm(last business/weekday of monthdepend on the number of days in month andin the latter casewhether the month ends on weekend or not for lack of better termi call these anchored offsets see table - for listing of frequency codes and date offset classes available in pandas date rangesfrequenciesand shifting www it-ebooks info