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Corrected reference to blockwise to refer to apply_gufunc instead #5383

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May 26, 2021
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Corrected reference to blockwise to refer to apply_gufunc instead #5383

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6 changes: 3 additions & 3 deletions doc/examples/apply_ufunc_vectorize_1d.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -494,7 +494,7 @@
"source": [
"So far our function can only handle numpy arrays. A real benefit of `apply_ufunc` is the ability to easily parallelize over dask chunks _when needed_. \n",
"\n",
"We want to apply this function in a vectorized fashion over each chunk of the dask array. This is possible using dask's `blockwise` or `map_blocks`. `apply_ufunc` wraps `blockwise` and asking it to map the function over chunks using `blockwise` is as simple as specifying `dask=\"parallelized\"`. With this level of flexibility we need to provide dask with some extra information: \n",
"We want to apply this function in a vectorized fashion over each chunk of the dask array. This is possible using dask's `blockwise`, `map_blocks`, or `apply_gufunc`. Xarray's `apply_ufunc` wraps dask's `apply_gufunc` and asking it to map the function over chunks using `apply_gufunc` is as simple as specifying `dask=\"parallelized\"`. With this level of flexibility we need to provide dask with some extra information: \n",
" 1. `output_dtypes`: dtypes of all returned objects, and \n",
" 2. `output_sizes`: lengths of any new dimensions. \n",
" \n",
Expand Down Expand Up @@ -711,7 +711,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.6"
"version": "3.8.10"
},
"nbsphinx": {
"allow_errors": true
Expand All @@ -732,5 +732,5 @@
}
},
"nbformat": 4,
"nbformat_minor": 1
"nbformat_minor": 4
}