Back to ValueError

Author: Lewiscowles1986

pandas/core/internals/construction.py

@@ -10,7 +10,6 @@
 
 from pandas._libs import lib
 from pandas._typing import Axis, DtypeObj, Scalar
-from pandas.errors import MismatchedIndexValueError
 
 from pandas.core.dtypes.cast import (
     construct_1d_arraylike_from_scalar,
@@ -745,7 +744,7 @@ def sanitize_index(data, index: Index):
     through a non-Index.
     """
     if len(data) != len(index):
-        raise MismatchedIndexValueError(
+        raise ValueError(
             "Length of values "
             f"({len(data)}) "
             "does not match length of index "

pandas/errors/__init__.py

@@ -208,9 +208,3 @@ class InvalidIndexError(Exception):
 
     .. versionadded:: 1.1.0
     """
-
-
-class MismatchedIndexValueError(ValueError):
-    """
-    Error raised when Index and Value are mismatched
-    """

pandas/tests/extension/base/setitem.py

@@ -1,8 +1,6 @@
 import numpy as np
 import pytest
 
-from pandas.errors import MismatchedIndexValueError
-
 import pandas as pd
 import pandas._testing as tm
 
@@ -250,7 +248,7 @@ def test_setitem_frame_invalid_length(self, data):
             rf"Length of values \({len(data[:5])}\) "
             rf"does not match length of index \({len(df)}\)"
         )
-        with pytest.raises(MismatchedIndexValueError, match=xpr):
+        with pytest.raises(ValueError, match=xpr):
             df["B"] = data[:5]
 
     @pytest.mark.xfail(reason="GH#20441: setitem on extension types.")

pandas/tests/frame/indexing/test_indexing.py

@@ -5,7 +5,6 @@
 import pytest
 
 from pandas._libs import iNaT
-from pandas.errors import MismatchedIndexValueError
 
 from pandas.core.dtypes.common import is_float_dtype, is_integer
 
@@ -166,7 +165,7 @@ def test_setitem_list(self, float_frame):
             rf"Length of values \({len(newcolumndata)}\) "
             rf"does not match length of index \({len(data)}\)"
         )
-        with pytest.raises(MismatchedIndexValueError, match=msg):
+        with pytest.raises(ValueError, match=msg):
             data["A"] = newcolumndata
 
         df = DataFrame(0, index=range(3), columns=["tt1", "tt2"], dtype=np.int_)

pandas/tests/frame/indexing/test_setitem.py

@@ -1,8 +1,6 @@
 import numpy as np
 import pytest
 
-from pandas.errors import MismatchedIndexValueError
-
 from pandas.core.dtypes.dtypes import DatetimeTZDtype, IntervalDtype, PeriodDtype
 
 from pandas import (
@@ -123,7 +121,7 @@ def test_setitem_wrong_length_categorical_dtype_raises(self):
             rf"Length of values \({len(cat)}\) "
             rf"does not match length of index \({len(df)}\)"
         )
-        with pytest.raises(MismatchedIndexValueError, match=msg):
+        with pytest.raises(ValueError, match=msg):
             df["foo"] = cat
 
     def test_setitem_with_sparse_value(self):