searchsorted#
- xarray_einstats.numba.searchsorted(da, v, dims=None, **kwargs)[source]#
Numbify
numpy.searchsortedto support vectorized computations.- Parameters:
- da
xarray.DataArray Input data
- v
xarray.DataArray The values to insert into da.
- dims
stror iterable ofstr, optional The dimensions over which to apply the searchsort. Computation will be parallelized over the rest with numba.
- **kwargs
dict, optional Keyword arguments passed as-is to
xarray.apply_ufunc.
- da
Notes
It has been designed to be used by
ecdf, so its setting of input and output core dims makes some assumptions based on that, it doesn’t aim to be general use vectorized/parallelized searchsorted.