Merge pull request #43 from exabl/enh/dataset-perf

Try improving performance of `dataset` module

docs/Makefile

@@ -29,4 +29,4 @@ intersphinx-xr:
 	@python -msphinx.ext.intersphinx https://xarray.pydata.org/en/stable/objects.inv
 
 autobuild:
-	@sphinx-autobuild "$(SOURCEDIR)" "$(BUILDDIR)/html"
+	@sphinx-autobuild --watch ../pymech --re-ignore '_build\/.*' "$(SOURCEDIR)" "$(BUILDDIR)/html"

docs/asv_bench/results/archmage/70867c8e-conda-py_=_pypy-dask[array]-numpy-pandas.json

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docs/asv_bench/results/archmage/70867c8e-conda-py_=_pypy-numpy-pandas.json

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docs/asv_bench/results/archmage/70867c8e-virtualenv-py3.8-dask[array]-numpy-pandas.json

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docs/asv_bench/results/archmage/70867c8e-virtualenv-py3.8-numpy-pandas.json

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docs/asv_bench/results/archmage/764431a3-conda-py_=_pypy-dask[array]-numpy-pandas.json

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docs/asv_bench/results/archmage/764431a3-conda-py_=_pypy-numpy-pandas.json

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docs/asv_bench/results/archmage/764431a3-virtualenv-py3.8-dask[array]-numpy-pandas.json

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docs/asv_bench/results/archmage/764431a3-virtualenv-py3.8-numpy-pandas.json

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docs/asv_bench/results/archmage/a8c55f9a-conda-py_=_pypy-numpy-pandas.json

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docs/asv_bench/results/archmage/a8c55f9a-virtualenv-py3.8-dask[array]-numpy-pandas.json

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