Calculating new dates using offsets
Frequencies in pandas are represented using date offsets. We have touched on this concept at the beginning of the chapter when discussing Timedelta objects. pandas extends the capabilities of these using the concept of DateOffset objects. They are objects which represent knowledge of how to integrate time offsets and frequencies relative to DatetimeIndex objects.
Representing data intervals with date offsets
DatetimeIndex objects are created at various frequencies by using passing frequency strings such as 'M', 'W', and 'BM' using the freq parameter of pd.date_range(). Under the hood, these frequency strings are translated into an instance of the pandas DateOffset object.
A DateOffset represents a regular frequency increment. Specific date offset logic, such as "month", "business day", or "hour", is represented in pandas with various subclasses of DateOffset. A DateOffset provides pandas with the intelligence to be able to determine how to calculate a specific...
