issue_comments: 790718449

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https://github.com/pydata/xarray/issues/4983#issuecomment-790718449 https://api.github.com/repos/pydata/xarray/issues/4983 790718449 MDEyOklzc3VlQ29tbWVudDc5MDcxODQ0OQ== 43613877 2021-03-04T15:52:38Z 2021-03-04T15:53:22Z CONTRIBUTOR

I didn't thought of using da.time.dt.floor("D"). This is indeed great to know, but as there seems to be more folks who are expecting da.time.dt.date to work, so I'd still like to see this implemented.

The time attribute that is already implemented has the same issue that it does not exists in cftime: ```python import numpy as np import pandas as pd import xarray as xr

attrs = {"units": "hours since 3000-01-01"} ds = xr.Dataset({"time": ("time", [0, 1, 2, 3], attrs)}) xr.decode_cf(ds).time.dt.time

AttributeError: 'CFTimeIndex' object has no attribute 'time'

`` I implemented thedateattribute in PR #4994. The usage ofdateandCFTimeIndexraises an explicit AttributeError now and mentions the usage offloor("D")`.

 
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