Removed unecessary repr

Author: JvPy

pandas/core/frame.py

@@ -7785,7 +7785,7 @@ def _get_agg_axis(self, axis_num):
         elif axis_num == 1:
             return self.index
         else:
-            raise ValueError("Axis must be 0 or 1 (got %r)" % axis_num)
+            raise ValueError(f"Axis must be 0 or 1 (got {axis_num})")
 
     def mode(self, axis=0, numeric_only=False, dropna=True):
         """

pandas/core/indexes/numeric.py

@@ -130,10 +130,9 @@ def _convert_tolerance(self, tolerance, target):
             else:
                 raise ValueError(
                     (
-                        "tolerance argument for %s must be numeric "
-                        "if it is a scalar: %r"
+                        f"tolerance argument for {type(self).__name__} must be numeric "
+                        f"if it is a scalar: {tolerance}"
                     )
-                    % (type(self).__name__, tolerance)
                 )
         return tolerance
 

pandas/io/html.py

@@ -103,7 +103,7 @@ def _get_skiprows(skiprows):
     elif skiprows is None:
         return 0
     raise TypeError(
-        f"{repr(type(skiprows).__name__)} is not a valid type for skipping rows"
+        f"{(type(skiprows).__name__)} is not a valid type for skipping rows"
     )
 
 
@@ -133,7 +133,7 @@ def _read(obj):
         except (TypeError, ValueError):
             pass
     else:
-        raise TypeError(f"Cannot read object of type {repr(type(obj).__name__)}")
+        raise TypeError(f"Cannot read object of type {(type(obj).__name__)}")
     return text
 
 
@@ -560,7 +560,7 @@ def _parse_tables(self, doc, match, attrs):
             unique_tables.add(table)
 
         if not result:
-            raise ValueError(f"No tables found matching pattern {repr(match.pattern)}")
+            raise ValueError(f"No tables found matching pattern {match.pattern}")
         return result
 
     def _text_getter(self, obj):
@@ -659,7 +659,7 @@ def _parse_tables(self, doc, match, kwargs):
 
         # 1. check all descendants for the given pattern and only search tables
         # 2. go up the tree until we find a table
-        xpath_expr = f"//table//*[re:test(text(), {repr(pattern)})]/ancestor::table"
+        xpath_expr = f"//table//*[re:test(text(), {pattern})]/ancestor::table"
 
         # if any table attributes were given build an xpath expression to
         # search for them
@@ -679,7 +679,7 @@ def _parse_tables(self, doc, match, kwargs):
                         elem.getparent().remove(elem)
 
         if not tables:
-            raise ValueError(f"No tables found matching regex {repr(pattern)}")
+            raise ValueError(f"No tables found matching regex {pattern}")
         return tables
 
     def _equals_tag(self, obj, tag):
@@ -857,7 +857,7 @@ def _validate_flavor(flavor):
     elif isinstance(flavor, abc.Iterable):
         if not all(isinstance(flav, str) for flav in flavor):
             raise TypeError(
-                f"Object of type {repr(type(flavor).__name__)} "
+                f"Object of type {(type(flavor).__name__)} "
                 f"is not an iterable of strings"
             )
     else:

pandas/io/parsers.py

@@ -913,8 +913,8 @@ def _get_options_with_defaults(self, engine):
                         pass
                     else:
                         raise ValueError(
-                            f"The {repr(argname)} option is not supported with the"
-                            f" {repr(engine)} engine"
+                            f"The {argname} option is not supported with the"
+                            f" {engine} engine"
                         )
             else:
                 value = _deprecated_defaults.get(argname, default)