3 ms·
Most data is not 300 years old or in the distance future, in fact ranges 1970+-292 years are very common. That is to say, panda's choice is good for lots of peo
by nxpnsv 5y ago
Most data is not 300 years old or in the distance future, in fact ranges 1970+-292 years are very common. That is to say, panda's choice is good for lots of people, including outside high-frequency stock traders.
- lr1970 5y ago> 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.