PERF: resolution, is_normalized

[jbrockmendel]

dti = pd.date_range("2016-01-01", periods=10_000) dta = dti._data In [4]: %timeit dta.is_normalized 354 µs ± 3.62 µs per loop (mean ± std. dev. of 7 runs, 1,000 loops each) # <- main 122 µs ± 2.71 µs per loop (mean ± std. dev. of 7 runs, 10,000 loops each) # <- PR In [5]: %timeit dta.resolution 493 µs ± 4.86 µs per loop (mean ± std. dev. of 7 runs, 1,000 loops each) # <- main 258 µs ± 10.3 µs per loop (mean ± std. dev. of 7 runs, 1,000 loops each) # <- PR 

[mroeschke]

Thanks @jbrockmendel