fix use of Index._holds_integer

Author: Terji Petersen

pandas/plotting/_core.py

@@ -956,7 +956,7 @@ def __call__(self, *args, **kwargs):
                 # check if we have y as int or list of ints
                 int_ylist = is_list_like(y) and all(is_integer(c) for c in y)
                 int_y_arg = is_integer(y) or int_ylist
-                if int_y_arg and data.columns._should_fallback_to_positional:
+                if int_y_arg and not data.columns._holds_integer():
                     y = data_cols[y]
 
                 label_kw = kwargs["label"] if "label" in kwargs else False

pandas/plotting/_matplotlib/core.py

@@ -1135,9 +1135,9 @@ def __init__(self, data, x, y, **kwargs) -> None:
         MPLPlot.__init__(self, data, **kwargs)
         if x is None or y is None:
             raise ValueError(self._kind + " requires an x and y column")
-        if is_integer(x) and self.data.columns._should_fallback_to_positional:
+        if is_integer(x) and not self.data.columns._holds_integer():
             x = self.data.columns[x]
-        if is_integer(y) and self.data.columns._should_fallback_to_positional:
+        if is_integer(y) and not self.data.columns._holds_integer():
             y = self.data.columns[y]
 
         # Scatter plot allows to plot objects data
@@ -1194,7 +1194,7 @@ def __init__(self, data, x, y, s=None, c=None, **kwargs) -> None:
         elif is_hashable(s) and s in data.columns:
             s = data[s]
         super().__init__(data, x, y, s=s, **kwargs)
-        if is_integer(c) and self.data.columns._holds_integer():
+        if is_integer(c) and not self.data.columns._holds_integer():
             c = self.data.columns[c]
         self.c = c
 
@@ -1286,7 +1286,7 @@ def _kind(self) -> Literal["hexbin"]:
 
     def __init__(self, data, x, y, C=None, **kwargs) -> None:
         super().__init__(data, x, y, **kwargs)
-        if is_integer(C) and self.data.columns._holds_integer():
+        if is_integer(C) and not self.data.columns._holds_integer():
             C = self.data.columns[C]
         self.C = C