CLN: Rename raise_on_error to errors for .dtype

xref pandas-devgh-14967.

Author: gfyoung

doc/source/whatsnew/v0.24.0.txt

@@ -948,6 +948,7 @@ Removal of prior version deprecations/changes
 - Removal of the previously deprecated module ``pandas.json`` (:issue:`19944`)
 - :meth:`SparseArray.get_values` and :meth:`SparseArray.to_dense` have dropped the ``fill`` parameter (:issue:`14686`)
 - :meth:`SparseSeries.to_dense` has dropped the ``sparse_only`` parameter (:issue:`14686`)
+- :meth:`DataFrame.astype` and :meth:`Series.astype` have renamed the ``raise_on_error`` argument to ``errors`` (:issue:`14967`)
 
 .. _whatsnew_0240.performance:
 

pandas/core/generic.py

@@ -53,8 +53,7 @@
                            isidentifier, set_function_name, cPickle as pkl)
 from pandas.core.ops import _align_method_FRAME
 import pandas.core.nanops as nanops
-from pandas.util._decorators import (Appender, Substitution,
-                                     deprecate_kwarg)
+from pandas.util._decorators import Appender, Substitution
 from pandas.util._validators import validate_bool_kwarg, validate_fillna_kwargs
 from pandas.core import config
 
@@ -5148,8 +5147,6 @@ def _to_dict_of_blocks(self, copy=True):
         return {k: self._constructor(v).__finalize__(self)
                 for k, v, in self._data.to_dict(copy=copy).items()}
 
-    @deprecate_kwarg(old_arg_name='raise_on_error', new_arg_name='errors',
-                     mapping={True: 'raise', False: 'ignore'})
     def astype(self, dtype, copy=True, errors='raise', **kwargs):
         """
         Cast a pandas object to a specified dtype ``dtype``.
@@ -5173,9 +5170,6 @@ def astype(self, dtype, copy=True, errors='raise', **kwargs):
 
             .. versionadded:: 0.20.0
 
-        raise_on_error : raise on invalid input
-            .. deprecated:: 0.20.0
-               Use ``errors`` instead
         kwargs : keyword arguments to pass on to the constructor
 
         Returns

pandas/tests/frame/test_dtypes.py

@@ -830,9 +830,6 @@ def test_arg_for_errors_in_astype(self):
         with pytest.raises(ValueError):
             df.astype(np.float64, errors=True)
 
-        with tm.assert_produces_warning(FutureWarning):
-            df.astype(np.int8, raise_on_error=False)
-
         df.astype(np.int8, errors='ignore')
 
     @pytest.mark.parametrize('input_vals', [

pandas/tests/series/test_dtypes.py

@@ -454,9 +454,6 @@ def test_arg_for_errors_in_astype(self):
         with pytest.raises(ValueError):
             s.astype(np.float64, errors=False)
 
-        with tm.assert_produces_warning(FutureWarning):
-            s.astype(np.int8, raise_on_error=True)
-
         s.astype(np.int8, errors='raise')
 
     def test_intercept_astype_object(self):