replace syntax with f-string (#30919)

pandas/core/arrays/period.py

@@ -298,11 +298,11 @@ def __arrow_array__(self, type=None):
  if self.freqstr != type.freq:
  raise TypeError(
  "Not supported to convert PeriodArray to array with different"
- " 'freq' ({0} vs {1})".format(self.freqstr, type.freq)
+ f" 'freq' ({self.freqstr} vs {type.freq})"
  )
  else:
  raise TypeError(
- "Not supported to convert PeriodArray to '{0}' type".format(type)
+ f"Not supported to convert PeriodArray to '{type}' type"
  )
 
  period_type = ArrowPeriodType(self.freqstr)

pandas/core/dtypes/common.py

@@ -194,12 +194,11 @@ def ensure_python_int(value: Union[int, np.integer]) -> int:
  """
  if not is_scalar(value):
  raise TypeError(f"Value needs to be a scalar value, was type {type(value)}")
- msg = "Wrong type {} for value {}"
  try:
  new_value = int(value)
  assert new_value == value
  except (TypeError, ValueError, AssertionError):
- raise TypeError(msg.format(type(value), value))
+ raise TypeError(f"Wrong type {type(value)} for value {value}")
  return new_value
 
 

pandas/core/dtypes/dtypes.py

@@ -435,12 +435,11 @@ def __eq__(self, other: Any) -> bool:
  return hash(self) == hash(other)
 
  def __repr__(self) -> str_type:
- tpl = "CategoricalDtype(categories={data}ordered={ordered})"
  if self.categories is None:
  data = "None, "
  else:
  data = self.categories._format_data(name=type(self).__name__)
- return tpl.format(data=data, ordered=self.ordered)
+ return f"CategoricalDtype(categories={data}ordered={self.ordered})"
 
  @staticmethod
  def _hash_categories(categories, ordered: Ordered = True) -> int:

pandas/core/frame.py

@@ -2431,7 +2431,7 @@ def _verbose_repr():
  dtype = self.dtypes.iloc[i]
  col = pprint_thing(col)
 
- line_no = _put_str(" {num}".format(num=i), space_num)
+ line_no = _put_str(f" {i}", space_num)
  count = ""
  if show_counts:
  count = counts.iloc[i]