issue_comments: 464949490

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https://github.com/pydata/xarray/issues/2191#issuecomment-464949490 https://api.github.com/repos/pydata/xarray/issues/2191 464949490 MDEyOklzc3VlQ29tbWVudDQ2NDk0OTQ5MA== 6628425 2019-02-19T02:04:39Z 2019-02-19T02:04:39Z MEMBER

@zzheng93 welcome! One way to install the development version is to clone this repo, and do an editable install: $ git clone https://github.com/pydata/xarray.git $ cd xarray $ pip install -e . Then using resample with a daily frequency would look something like: ``` In [1]: import xarray as xr

In [2]: times = xr.cftime_range('2000', periods=4, freq='12H')

In [3]: times Out[3]: CFTimeIndex([2000-01-01 00:00:00, 2000-01-01 12:00:00, 2000-01-02 00:00:00, 2000-01-02 12:00:00], dtype='object')

In [4]: da = xr.DataArray(range(4), [('time', times)])

In [5]: da.resample(time='D').mean() Out[5]: <xarray.DataArray (time: 2)> array([0.5, 2.5]) Coordinates: * time (time) object 2000-01-01 00:00:00 2000-01-02 00:00:00 ```

 
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