CLN: Remove pre-1.5 deprecations (#50377)

* CLN: Remove pre-1.5 deprecations

* fix stacklevel

Author: twoertwein

doc/source/whatsnew/v2.0.0.rst

@@ -723,6 +723,9 @@ Removal of prior version deprecations/changes
 - Removed deprecated methods :meth:`ExcelWriter.write_cells`, :meth:`ExcelWriter.save`, :meth:`ExcelWriter.cur_sheet`, :meth:`ExcelWriter.handles`, :meth:`ExcelWriter.path` (:issue:`45795`)
 - The :class:`ExcelWriter` attribute ``book`` can no longer be set; it is still available to be accessed and mutated (:issue:`48943`)
 - Removed unused ``*args`` and ``**kwargs`` in :class:`Rolling`, :class:`Expanding`, and :class:`ExponentialMovingWindow` ops (:issue:`47851`)
+- Removed the deprecated argument ``line_terminator`` from :meth:`DataFrame.to_csv` (:issue:`45302`)
+- Removed the deprecated argument ``label`` from :func:`lreshape` (:issue:`30219`)
+- Arguments after ``expr`` in :meth:`DataFrame.eval` and :meth:`DataFrame.query` are keyword-only (:issue:`47587`)
 -
 
 .. ---------------------------------------------------------------------------

pandas/core/frame.py

@@ -96,7 +96,6 @@
 from pandas.util._decorators import (
     Appender,
     Substitution,
-    deprecate_nonkeyword_arguments,
     doc,
     rewrite_axis_style_signature,
 )
@@ -4189,8 +4188,7 @@ def query(self, expr: str, *, inplace: Literal[True], **kwargs) -> None:
     def query(self, expr: str, *, inplace: bool = ..., **kwargs) -> DataFrame | None:
         ...
 
-    @deprecate_nonkeyword_arguments(version=None, allowed_args=["self", "expr"])
-    def query(self, expr: str, inplace: bool = False, **kwargs) -> DataFrame | None:
+    def query(self, expr: str, *, inplace: bool = False, **kwargs) -> DataFrame | None:
         """
         Query the columns of a DataFrame with a boolean expression.
 
@@ -4334,7 +4332,7 @@ def query(self, expr: str, inplace: bool = False, **kwargs) -> DataFrame | None:
         if not isinstance(expr, str):
             msg = f"expr must be a string to be evaluated, {type(expr)} given"
             raise ValueError(msg)
-        kwargs["level"] = kwargs.pop("level", 0) + 2
+        kwargs["level"] = kwargs.pop("level", 0) + 1
         kwargs["target"] = None
         res = self.eval(expr, **kwargs)
 
@@ -4359,8 +4357,7 @@ def eval(self, expr: str, *, inplace: Literal[False] = ..., **kwargs) -> Any:
     def eval(self, expr: str, *, inplace: Literal[True], **kwargs) -> None:
         ...
 
-    @deprecate_nonkeyword_arguments(version=None, allowed_args=["self", "expr"])
-    def eval(self, expr: str, inplace: bool = False, **kwargs) -> Any | None:
+    def eval(self, expr: str, *, inplace: bool = False, **kwargs) -> Any | None:
         """
         Evaluate a string describing operations on DataFrame columns.
 
@@ -4466,7 +4463,7 @@ def eval(self, expr: str, inplace: bool = False, **kwargs) -> Any | None:
         from pandas.core.computation.eval import eval as _eval
 
         inplace = validate_bool_kwarg(inplace, "inplace")
-        kwargs["level"] = kwargs.pop("level", 0) + 2
+        kwargs["level"] = kwargs.pop("level", 0) + 1
         index_resolvers = self._get_index_resolvers()
         column_resolvers = self._get_cleaned_column_resolvers()
         resolvers = column_resolvers, index_resolvers

pandas/core/reshape/melt.py

@@ -8,10 +8,7 @@
 
 import numpy as np
 
-from pandas.util._decorators import (
-    Appender,
-    deprecate_kwarg,
-)
+from pandas.util._decorators import Appender
 
 from pandas.core.dtypes.common import (
     is_extension_array_dtype,
@@ -161,8 +158,7 @@ def melt(
     return result
 
 
-@deprecate_kwarg(old_arg_name="label", new_arg_name=None)
-def lreshape(data: DataFrame, groups, dropna: bool = True, label=None) -> DataFrame:
+def lreshape(data: DataFrame, groups, dropna: bool = True) -> DataFrame:
     """
     Reshape wide-format data to long. Generalized inverse of DataFrame.pivot.
 
@@ -178,10 +174,6 @@ def lreshape(data: DataFrame, groups, dropna: bool = True, label=None) -> DataFr
         {new_name : list_of_columns}.
     dropna : bool, default True
         Do not include columns whose entries are all NaN.
-    label : None
-        Not used.
-
-        .. deprecated:: 1.0.0
 
     Returns
     -------

pandas/io/formats/format.py

@@ -62,7 +62,6 @@
     StorageOptions,
     WriteBuffer,
 )
-from pandas.util._decorators import deprecate_kwarg
 
 from pandas.core.dtypes.common import (
     is_categorical_dtype,
@@ -1135,7 +1134,6 @@ def to_string(
         string = string_formatter.to_string()
         return save_to_buffer(string, buf=buf, encoding=encoding)
 
-    @deprecate_kwarg(old_arg_name="line_terminator", new_arg_name="lineterminator")
     def to_csv(
         self,
         path_or_buf: FilePath | WriteBuffer[bytes] | WriteBuffer[str] | None = None,

pandas/tests/reshape/test_melt.py

@@ -658,9 +658,6 @@ def test_pairs(self):
         exp = DataFrame(exp_data, columns=result.columns)
         tm.assert_frame_equal(result, exp)
 
-        with tm.assert_produces_warning(FutureWarning):
-            lreshape(df, spec, dropna=False, label="foo")
-
         spec = {
             "visitdt": [f"visitdt{i:d}" for i in range(1, 3)],
             "wt": [f"wt{i:d}" for i in range(1, 4)],