BUG: Ensure min_itemsize is always a list

Closes #11412

Author: toobaz

pandas/io/pytables.py

@@ -3315,7 +3315,7 @@ def validate_data_columns(self, data_columns, min_itemsize):
         # evaluate the passed data_columns, True == use all columns
         # take only valide axis labels
         if data_columns is True:
-            data_columns = axis_labels
+            data_columns = list(axis_labels)
         elif data_columns is None:
             data_columns = []
 
@@ -4153,7 +4153,7 @@ def write(self, obj, data_columns=None, **kwargs):
             obj = DataFrame({name: obj}, index=obj.index)
             obj.columns = [name]
         return super(AppendableSeriesTable, self).write(
-            obj=obj, data_columns=obj.columns, **kwargs)
+            obj=obj, data_columns=list(obj.columns), **kwargs)
 
     def read(self, columns=None, **kwargs):
 
@@ -4254,7 +4254,7 @@ def write(self, obj, data_columns=None, **kwargs):
         if data_columns is None:
             data_columns = []
         elif data_columns is True:
-            data_columns = obj.columns[:]
+            data_columns = list(obj.columns)
         obj, self.levels = self.validate_multiindex(obj)
         for n in self.levels:
             if n not in data_columns: