Merge pull request #431 from jGaboardi/k_nearest_demo_notebook

K-nearest p-median demo notebook
pysal · Dec 10, 2023 · 86673f8 · 86673f8
2 parents 4760bd9 + 9d382e7
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diff --git a/docs/tutorials.rst b/docs/tutorials.rst
@@ -25,6 +25,7 @@ Tutorials
     notebooks/mclp_gis.ipynb
     notebooks/p-center.ipynb
     notebooks/p-median.ipynb
+    notebooks/p-median_variations.ipynb
     notebooks/p-dispersion.ipynb
     notebooks/facloc-real-world.ipynb
     notebooks/facloc-lscpb-real-world.ipynb

diff --git a/notebooks/azp.ipynb b/notebooks/azp.ipynb
diff --git a/notebooks/component_policy.ipynb b/notebooks/component_policy.ipynb
diff --git a/notebooks/facloc-disperse-real-world.ipynb b/notebooks/facloc-disperse-real-world.ipynb
diff --git a/notebooks/facloc-lscpb-real-world.ipynb b/notebooks/facloc-lscpb-real-world.ipynb
diff --git a/notebooks/facloc-real-world.ipynb b/notebooks/facloc-real-world.ipynb
diff --git a/notebooks/lscp.ipynb b/notebooks/lscp.ipynb
diff --git a/notebooks/lscp_capacity.ipynb b/notebooks/lscp_capacity.ipynb
diff --git a/notebooks/lscp_gis.ipynb b/notebooks/lscp_gis.ipynb
diff --git a/notebooks/lscpb.ipynb b/notebooks/lscpb.ipynb
diff --git a/notebooks/maxp.ipynb b/notebooks/maxp.ipynb
diff --git a/notebooks/mclp.ipynb b/notebooks/mclp.ipynb
diff --git a/notebooks/mclp_gis.ipynb b/notebooks/mclp_gis.ipynb
diff --git a/notebooks/p-center.ipynb b/notebooks/p-center.ipynb
diff --git a/notebooks/p-dispersion.ipynb b/notebooks/p-dispersion.ipynb
diff --git a/notebooks/p-median.ipynb b/notebooks/p-median.ipynb
diff --git a/notebooks/p-median_variations.ipynb b/notebooks/p-median_variations.ipynb
diff --git a/notebooks/randomregion.ipynb b/notebooks/randomregion.ipynb
diff --git a/notebooks/reg-k-means.ipynb b/notebooks/reg-k-means.ipynb
diff --git a/notebooks/skater.ipynb b/notebooks/skater.ipynb
diff --git a/notebooks/ward.ipynb b/notebooks/ward.ipynb
diff --git a/spopt/locate/p_median.py b/spopt/locate/p_median.py
@@ -943,6 +943,7 @@ def from_geodataframe(
         0.809
 
         Get the k values for the last iteration.
+
         >>> print(k_nearest_pmedian.k_array)
         [2, 1]