diff --git a/docs/tutorials.rst b/docs/tutorials.rst index c7a4b8db..0ad1a4bf 100644 --- a/docs/tutorials.rst +++ b/docs/tutorials.rst @@ -11,6 +11,7 @@ Tutorials notebooks/ward.ipynb notebooks/reg-k-means.ipynb notebooks/randomregion.ipynb + notebooks/component_policy.ipynb :caption: Locate: diff --git a/notebooks/component_policy.ipynb b/notebooks/component_policy.ipynb index 6e9fc1e9..aa18b7f6 100644 --- a/notebooks/component_policy.ipynb +++ b/notebooks/component_policy.ipynb @@ -33,18 +33,18 @@ "name": "stdout", "output_type": "stream", "text": [ - "Last updated: 2022-03-15T16:18:28.255535-07:00\n", + "Last updated: 2022-03-18T08:38:39.350388-07:00\n", "\n", "Python implementation: CPython\n", "Python version : 3.9.10\n", "IPython version : 8.1.1\n", "\n", - "Compiler : Clang 11.1.0 \n", - "OS : Darwin\n", - "Release : 21.3.0\n", + "Compiler : GCC 9.4.0\n", + "OS : Linux\n", + "Release : 5.10.0-11-amd64\n", "Machine : x86_64\n", - "Processor : i386\n", - "CPU cores : 10\n", + "Processor : \n", + "CPU cores : 8\n", "Architecture: 64bit\n", "\n" ] @@ -71,11 +71,11 @@ "text": [ "Watermark: 2.3.0\n", "\n", + "spopt : 0+untagged.565.g8d56a1f.dirty\n", "numpy : 1.22.3\n", + "matplotlib: 3.3.2\n", "geopandas : 0.10.2\n", - "spopt : 0+untagged.565.g8d56a1f.dirty\n", "libpysal : 4.6.2\n", - "matplotlib: 3.5.1\n", "\n" ] } @@ -164,7 +164,7 @@ }, { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -329,10 +329,10 @@ { "data": { "text/html": [ - "
Make this Notebook Trusted to load map: File -> Trust Notebook
" + "
Make this Notebook Trusted to load map: File -> Trust Notebook
" ], "text/plain": [ - "" + "" ] }, "execution_count": 11, @@ -380,7 +380,7 @@ "metadata": {}, "source": [ "## Solution: `multiple attach`\n", - "We can handle the small component by attaching each area in the infeasible component with its nearest neighbor area belonging to a feasible component. This is done with setting the policy to `mulitiple'." + "We can handle the small component by attaching each area in the infeasible component with its nearest neighbor area belonging to a feasible component. This is done with setting the policy to `multiple`." ] }, { @@ -393,10 +393,10 @@ { "data": { "text/html": [ - "
Make this Notebook Trusted to load map: File -> Trust Notebook
" + "
Make this Notebook Trusted to load map: File -> Trust Notebook
" ], "text/plain": [ - "" + "" ] }, "execution_count": 13, @@ -436,10 +436,10 @@ { "data": { "text/html": [ - "
Make this Notebook Trusted to load map: File -> Trust Notebook
" + "
Make this Notebook Trusted to load map: File -> Trust Notebook
" ], "text/plain": [ - "" + "" ] }, "execution_count": 14, @@ -480,7 +480,7 @@ }, { "data": { - "image/png": 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\n", 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\n", "text/plain": [ "
" ] @@ -514,10 +514,10 @@ { "data": { "text/html": [ - "
Make this Notebook Trusted to load map: File -> Trust Notebook
" + "
Make this Notebook Trusted to load map: File -> Trust Notebook
" ], "text/plain": [ - "" + "" ] }, "execution_count": 16, diff --git a/notebooks/skater.ipynb b/notebooks/skater.ipynb index eded0b42..0eef465d 100644 --- a/notebooks/skater.ipynb +++ b/notebooks/skater.ipynb @@ -489,9 +489,9 @@ ], "metadata": { "kernelspec": { - "display_name": "Python [conda env:py39_spopt]", + "display_name": "Python 3 (ipykernel)", "language": "python", - "name": "conda-env-py39_spopt-py" + "name": "python3" }, "language_info": { "codemirror_mode": { @@ -503,9 +503,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.1" + "version": "3.9.10" } }, "nbformat": 4, - "nbformat_minor": 2 + "nbformat_minor": 4 }