initial commit

tests/stats/test_edgestats.py

@@ -1,3 +1,4 @@
+import pandas as pd
 import pytest
 
 import xgi
@@ -126,3 +127,9 @@ def test_view_val(edgelist1, edgelist2):
     H = xgi.Hypergraph(edgelist2)
     assert H.edges.order._val == {0: 1, 1: 1, 2: 2}
     assert H.edges([1, 2]).order._val == {1: 1, 2: 2}
+
+
+def test_issue_468():
+    H = xgi.sunflower(3, 1, 20)
+    df = pd.DataFrame([[20.0, 3]], columns=["bin_center", "value"])
+    assert H.edges.size.ashist().equals(df)

xgi/stats/__init__.py

@@ -190,8 +190,13 @@ def ashist(self, bins=10, bin_edges=False, density=False, log_binning=False):
         Notes
         -----
         Originally from https://github.com/jkbren/networks-and-dataviz
-
         """
+
+        # if there is one unique value and more than one bin is specified,
+        # sets the number of bins to 1.
+        if isinstance(bins, int) and len(set(self.aslist())) == 1:
+            bins = 1
+
         return hist(self.asnumpy(), bins, bin_edges, density, log_binning)
 
     def max(self):