I am new to Pandas, and am trying to use
date_range. I came across all kinds of good things for
BMS and I would like to be able to quickly look up the proper strings to get what I want. Yesterday I found a nicely formatted table somewhere in the documentation, but the title of the table was so obtuse that I can not use search to find it again today.
You can find it called Offset Aliases:
A number of string aliases are given to useful common time series frequencies. We will refer to these aliases as offset aliases.
Alias Description B business day frequency C custom business day frequency D calendar day frequency W weekly frequency M month end frequency SM semi-month end frequency (15th and end of month) BM business month end frequency CBM custom business month end frequency MS month start frequency SMS semi-month start frequency (1st and 15th) BMS business month start frequency CBMS custom business month start frequency Q quarter end frequency BQ business quarter end frequency QS quarter start frequency BQS business quarter start frequency A, Y year end frequency BA, BY business year end frequency AS, YS year start frequency BAS, BYS business year start frequency BH business hour frequency H hourly frequency T, min minutely frequency S secondly frequency L, ms milliseconds U, us microseconds N nanoseconds