> Most data is not 300 years old or in the distance future, in fact ranges 1970+-292 years are very common. In what domains? Astronomy, geology, history call f

> Most data is not 300 years old or in the distance future, in fact ranges 1970+-292 years are very common. In what domains? Astronomy, geology, history call for larger time range. Laser and High Energy physics need femtosecond rather than nanosecond resolution. My point is that a fixed time resolution, whatever it is, is a bad choice. Numpy explicitly allows to select time resolution unit and this is the right approach. BTW, numpy is pandas dependency and predates it by several years.