[ ] User visible changes (including notable bug fixes) are documented in whats-new.rst
[ ] New functions/methods are listed in api.rst
cc @phofl here we need to index a numpy array with a dask array (commonly a much larger array) in a sane manner.
We now preserve chunksizes for
import numpy as np
import xarray as xr
# create some dummy data and chunk
x, y, t = 1000, 1000, 57
rang = np.arange(t*x*y)
da = xr.DataArray(rang.reshape(t, x, y), coords={'time':range(t), 'x': range(x), 'y':range(y)})
da = da.chunk(dict(time=-1, x=256, y=256))
da.idxmin('time')
whats-new.rstapi.rstcc @phofl here we need to index a numpy array with a dask array (commonly a much larger array) in a sane manner.
We now preserve chunksizes for
After
Before