norms in decorated labels

Author: nicolaskruchten

Diff for: packages/python/plotly/plotly/express/_core.py

@@ -149,16 +149,22 @@ def _is_continuous(df, col_name):
 def get_decorated_label(args, column, role):
     label = get_label(args, column)
     if "histfunc" in args and (
-        (role == "x" and "orientation" in args and args["orientation"] == "h")
+        (role == "z")
+        or (role == "x" and "orientation" in args and args["orientation"] == "h")
         or (role == "y" and "orientation" in args and args["orientation"] == "v")
-        or (role == "z")
     ):
         if label:
-            return "%s of %s" % (args["histfunc"] or "count", label)
+            label = "%s of %s" % (args["histfunc"] or "count", label)
         else:
-            return "count"
-    else:
-        return label
+            label = "count"
+
+        if "histnorm" in args and args["histnorm"] is not None:
+            label = "%s of %s" % (args["histnorm"], label)
+
+        if "barnorm" in args and args["barnorm"] is not None:
+            label = "%s (normalized as %s)" % (label, args["barnorm"])
+
+    return label
 
 
 def make_mapping(args, variable):

Diff for: packages/python/plotly/plotly/tests/test_core/test_px/test_px_functions.py

@@ -267,7 +267,7 @@ def test_sunburst_treemap_column_parent():
     df = pd.DataFrame(dict(id=vendors, sectors=sectors, parent=regions, values=values,))
     path = ["parent", "sectors", "id"]
     # One column of the path is a reserved name - this is ok and should not raise
-    fig = px.sunburst(df, path=path, values="values")
+    px.sunburst(df, path=path, values="values")
 
 
 def test_sunburst_treemap_with_path_non_rectangular():
@@ -379,6 +379,31 @@ def test_parcats_dimensions_max():
     assert [d.label for d in fig.data[0].dimensions] == ["sex", "smoker", "day", "size"]
 
 
+def test_histfunc_hoverlabels():
+    df = px.data.tips()
+    fig = px.histogram(df, x="total_bill")
+    label = "count"
+    assert fig.layout.yaxis.title.text == label
+    assert label + "=" in fig.data[0].hovertemplate
+
+    fig = px.histogram(df, x="total_bill", y="tip")
+    label = "sum of tip"
+    assert fig.layout.yaxis.title.text == label
+    assert label + "=" in fig.data[0].hovertemplate
+
+    fig = px.histogram(
+        df,
+        x="total_bill",
+        y="tip",
+        histfunc="min",
+        histnorm="probability",
+        barnorm="percent",
+    )
+    label = "probability of min of tip (normalized as percent)"
+    assert fig.layout.yaxis.title.text == label
+    assert label + "=" in fig.data[0].hovertemplate
+
+
 def test_timeline():
     df = pd.DataFrame(
         [