logic not available in pandasthough the full details of that are outside the scope of this book table - base time series frequencies alias offset type description day calendar daily businessday business daily hour hourly or min minute minutely second secondly or ms milli millisecond ( / th of secondu micro microsecond ( / th of secondm monthend last calendar day of month bm businessmonthend last business day (weekdayof month ms monthbegin first calendar day of month bms businessmonthbegin first weekday of month -monw-tueweek weekly on given day of weekmontuewedthufrisator sun wom- monwom- monweekofmonth generate weekly dates in the firstsecondthirdor fourth week of the month for examplewom- fri for the rd friday of each month -janq-febquarterend quarterly dates anchored on last calendar day of each monthfor year ending in indicated monthjanfebmaraprmayjunjulaugsepoctnovor dec bq-janbq-febbusinessquarterend quarterly dates anchored on last weekday day of each monthfor year ending in indicated month qs-janqs-febquarterbegin quarterly dates anchored on first calendar day of each monthfor year ending in indicated month bqs-janbqs-febbusinessquarterbegin quarterly dates anchored on first weekday day of each monthfor year ending in indicated month -jana-febyearend annual dates anchored on last calendar day of given monthjanfebmaraprmayjunjulaugsepoctnovor dec ba-janba-febbusinessyearend annual dates anchored on last weekday of given month as-janas-febyearbegin annual dates anchored on first day of given month bas-janbas-febbusinessyearbegin annual dates anchored on first weekday of given month time series www it-ebooks info