STY: Replace .format() to fstrings

pandas/core/missing.py

@@ -88,10 +88,7 @@ def clean_fill_method(method, allow_nearest=False):
         valid_methods.append("nearest")
         expecting = "pad (ffill), backfill (bfill) or nearest"
     if method not in valid_methods:
-        msg = "Invalid fill method. Expecting {expecting}. Got {method}".format(
-            expecting=expecting, method=method
-        )
-        raise ValueError(msg)
+        raise ValueError(f"Invalid fill method. Expecting {expecting}. Got {method}")
     return method
 
 
@@ -119,10 +116,7 @@ def clean_interp_method(method, **kwargs):
     if method in ("spline", "polynomial") and order is None:
         raise ValueError("You must specify the order of the spline or polynomial.")
     if method not in valid:
-        raise ValueError(
-            "method must be one of {valid}. Got '{method}' "
-            "instead.".format(valid=valid, method=method)
-        )
+        raise ValueError(f"method must be one of {valid}. Got '{method}' instead.")
 
     return method
 
@@ -212,7 +206,7 @@ def interpolate_1d(
     limit_direction = limit_direction.lower()
     if limit_direction not in valid_limit_directions:
         raise ValueError(
-            f"Invalid limit_direction: expecting one of "
+            "Invalid limit_direction: expecting one of "
             f"{valid_limit_directions}, got '{limit_direction}'."
         )
 
@@ -221,8 +215,8 @@ def interpolate_1d(
         limit_area = limit_area.lower()
         if limit_area not in valid_limit_areas:
             raise ValueError(
-                "Invalid limit_area: expecting one of {}, got "
-                "{}.".format(valid_limit_areas, limit_area)
+                f"Invalid limit_area: expecting one of {valid_limit_areas}, got "
+                f"{limit_area}."
             )
 
     # default limit is unlimited GH #16282
@@ -328,7 +322,7 @@ def _interpolate_scipy_wrapper(
     Returns an array interpolated at new_x.  Add any new methods to
     the list in _clean_interp_method.
     """
-    extra = "{method} interpolation requires SciPy.".format(method=method)
+    extra = f"{method} interpolation requires SciPy."
     import_optional_dependency("scipy", extra=extra)
     from scipy import interpolate
 
@@ -375,8 +369,7 @@ def _interpolate_scipy_wrapper(
         # GH #10633, #24014
         if isna(order) or (order <= 0):
             raise ValueError(
-                "order needs to be specified and greater than 0; "
-                "got order: {}".format(order)
+                f"order needs to be specified and greater than 0; got order: {order}"
             )
         terp = interpolate.UnivariateSpline(x, y, k=order, **kwargs)
         new_y = terp(new_x)

pandas/core/nanops.py

@@ -1301,9 +1301,7 @@ def _ensure_numeric(x):
                 x = complex(x)
             except ValueError:
                 # e.g. "foo"
-                raise TypeError(
-                    "Could not convert {value!s} to numeric".format(value=x)
-                )
+                raise TypeError(f"Could not convert {x} to numeric")
     return x
 
 

pandas/tests/indexes/datetimes/test_partial_slicing.py

@@ -274,7 +274,7 @@ def test_partial_slicing_dataframe(self):
                 result = df["a"][ts_string]
                 assert isinstance(result, np.int64)
                 assert result == expected
-                msg = r"^'{}'$".format(ts_string)
+                msg = fr"^'{ts_string}'$"
                 with pytest.raises(KeyError, match=msg):
                     df[ts_string]
 
@@ -302,7 +302,7 @@ def test_partial_slicing_dataframe(self):
                 result = df["a"][ts_string]
                 assert isinstance(result, np.int64)
                 assert result == 2
-                msg = r"^'{}'$".format(ts_string)
+                msg = fr"^'{ts_string}'$"
                 with pytest.raises(KeyError, match=msg):
                     df[ts_string]
 
@@ -311,7 +311,7 @@ def test_partial_slicing_dataframe(self):
             for fmt, res in list(zip(formats, resolutions))[rnum + 1 :]:
                 ts = index[1] + Timedelta("1 " + res)
                 ts_string = ts.strftime(fmt)
-                msg = r"^'{}'$".format(ts_string)
+                msg = fr"^'{ts_string}'$"
                 with pytest.raises(KeyError, match=msg):
                     df["a"][ts_string]
                 with pytest.raises(KeyError, match=msg):