STYLE: Extending codespell to pandas/tests (#40320)

* STYLE: Extending codespell to pandas/tests part 1

* FIX: Variable name made consistent.

Author: 01-vyom

pandas/tests/arithmetic/test_timedelta64.py

@@ -1158,7 +1158,7 @@ def test_td64arr_add_sub_int(self, box_with_array, one):
         msg = "Addition/subtraction of integers"
         assert_invalid_addsub_type(tdarr, one, msg)
 
-        # TOOD: get inplace ops into assert_invalid_addsub_type
+        # TODO: get inplace ops into assert_invalid_addsub_type
         with pytest.raises(TypeError, match=msg):
             tdarr += one
         with pytest.raises(TypeError, match=msg):

pandas/tests/arrays/categorical/test_missing.py

@@ -107,13 +107,13 @@ def test_fillna_array(self):
         other = cat.fillna("C")
         result = cat.fillna(other)
         tm.assert_categorical_equal(result, other)
-        assert isna(cat[-1])  # didnt modify original inplace
+        assert isna(cat[-1])  # didn't modify original inplace
 
         other = np.array(["A", "B", "C", "B", "A"])
         result = cat.fillna(other)
         expected = Categorical(["A", "B", "C", "B", "A"], dtype=cat.dtype)
         tm.assert_categorical_equal(result, expected)
-        assert isna(cat[-1])  # didnt modify original inplace
+        assert isna(cat[-1])  # didn't modify original inplace
 
     @pytest.mark.parametrize(
         "values, expected",

pandas/tests/arrays/sparse/test_array.py

@@ -95,7 +95,7 @@ def test_constructor_na_dtype(self, dtype):
             SparseArray([0, 1, np.nan], dtype=dtype)
 
     def test_constructor_warns_when_losing_timezone(self):
-        # GH#32501 warn when losing timezone inforamtion
+        # GH#32501 warn when losing timezone information
         dti = pd.date_range("2016-01-01", periods=3, tz="US/Pacific")
 
         expected = SparseArray(np.asarray(dti, dtype="datetime64[ns]"))

pandas/tests/computation/test_eval.py

@@ -1144,11 +1144,11 @@ def test_performance_warning_for_poor_alignment(self, engine, parser):
             if not is_python_engine:
                 assert len(w) == 1
                 msg = str(w[0].message)
-                loged = np.log10(s.size - df.shape[1])
+                logged = np.log10(s.size - df.shape[1])
                 expected = (
                     f"Alignment difference on axis 1 is larger "
                     f"than an order of magnitude on term 'df', "
-                    f"by more than {loged:.4g}; performance may suffer"
+                    f"by more than {logged:.4g}; performance may suffer"
                 )
                 assert msg == expected
 
@@ -1404,25 +1404,25 @@ def test_multi_line_expression(self):
 
         expected["c"] = expected["a"] + expected["b"]
         expected["d"] = expected["c"] + expected["b"]
-        ans = df.eval(
+        answer = df.eval(
             """
         c = a + b
         d = c + b""",
             inplace=True,
         )
         tm.assert_frame_equal(expected, df)
-        assert ans is None
+        assert answer is None
 
         expected["a"] = expected["a"] - 1
         expected["e"] = expected["a"] + 2
-        ans = df.eval(
+        answer = df.eval(
             """
         a = a - 1
         e = a + 2""",
             inplace=True,
         )
         tm.assert_frame_equal(expected, df)
-        assert ans is None
+        assert answer is None
 
         # multi-line not valid if not all assignments
         msg = "Multi-line expressions are only valid if all expressions contain"
@@ -1467,15 +1467,15 @@ def test_multi_line_expression_local_variable(self):
         local_var = 7
         expected["c"] = expected["a"] * local_var
         expected["d"] = expected["c"] + local_var
-        ans = df.eval(
+        answer = df.eval(
             """
         c = a * @local_var
         d = c + @local_var
         """,
             inplace=True,
         )
         tm.assert_frame_equal(expected, df)
-        assert ans is None
+        assert answer is None
 
     def test_multi_line_expression_callable_local_variable(self):
         # 26426
@@ -1487,15 +1487,15 @@ def local_func(a, b):
         expected = df.copy()
         expected["c"] = expected["a"] * local_func(1, 7)
         expected["d"] = expected["c"] + local_func(1, 7)
-        ans = df.eval(
+        answer = df.eval(
             """
         c = a * @local_func(1, 7)
         d = c + @local_func(1, 7)
         """,
             inplace=True,
         )
         tm.assert_frame_equal(expected, df)
-        assert ans is None
+        assert answer is None
 
     def test_multi_line_expression_callable_local_variable_with_kwargs(self):
         # 26426
@@ -1507,15 +1507,15 @@ def local_func(a, b):
         expected = df.copy()
         expected["c"] = expected["a"] * local_func(b=7, a=1)
         expected["d"] = expected["c"] + local_func(b=7, a=1)
-        ans = df.eval(
+        answer = df.eval(
             """
         c = a * @local_func(b=7, a=1)
         d = c + @local_func(b=7, a=1)
         """,
             inplace=True,
         )
         tm.assert_frame_equal(expected, df)
-        assert ans is None
+        assert answer is None
 
     def test_assignment_in_query(self):
         # GH 8664

pandas/tests/config/test_config.py

@@ -112,8 +112,8 @@ def test_describe_option(self):
 
         # if no doc is specified we get a default message
         # saying "description not available"
-        assert "vailable" in self.cf.describe_option("f", _print_desc=False)
-        assert "vailable" in self.cf.describe_option("g.h", _print_desc=False)
+        assert "available" in self.cf.describe_option("f", _print_desc=False)
+        assert "available" in self.cf.describe_option("g.h", _print_desc=False)
         assert "precated" in self.cf.describe_option("g.h", _print_desc=False)
         assert "k" in self.cf.describe_option("g.h", _print_desc=False)
 

pandas/tests/dtypes/cast/test_promote.py

@@ -103,7 +103,7 @@ def _assert_match(result_fill_value, expected_fill_value):
 
     if hasattr(result_fill_value, "dtype"):
         # Compare types in a way that is robust to platform-specific
-        #  idiosyncracies where e.g. sometimes we get "ulonglong" as an alias
+        #  idiosyncrasies where e.g. sometimes we get "ulonglong" as an alias
         #  for "uint64" or "intc" as an alias for "int32"
         assert result_fill_value.dtype.kind == expected_fill_value.dtype.kind
         assert result_fill_value.dtype.itemsize == expected_fill_value.dtype.itemsize

pandas/tests/dtypes/test_missing.py

@@ -553,7 +553,7 @@ def test_array_equivalent_nested():
 )
 def test_na_value_for_dtype(dtype, na_value):
     result = na_value_for_dtype(dtype)
-    # identify check doesnt work for datetime64/timedelta64("NaT") bc they
+    # identify check doesn't work for datetime64/timedelta64("NaT") bc they
     #  are not singletons
     assert result is na_value or (
         isna(result) and isna(na_value) and type(result) is type(na_value)

pandas/tests/extension/base/dim2.py

@@ -238,7 +238,7 @@ def test_reductions_2d_axis1(self, data, method, request):
             else:
                 raise AssertionError("Both reductions should raise or neither")
 
-        # not necesarrily type/dtype-preserving, so weaker assertions
+        # not necessarily type/dtype-preserving, so weaker assertions
         assert result.shape == (1,)
         expected_scalar = getattr(data, method)()
         if pd.isna(result[0]):

pandas/tests/extension/base/methods.py

@@ -90,7 +90,7 @@ def test_argmin_argmax(self, data_for_sorting, data_missing_for_sorting, na_valu
         assert data_for_sorting.argmax() == 1
         assert data_for_sorting.argmin() == 2
 
-        # with repeated values -> first occurence
+        # with repeated values -> first occurrence
         data = data_for_sorting.take([2, 0, 0, 1, 1, 2])
         assert data.argmax() == 3
         assert data.argmin() == 0
@@ -109,7 +109,7 @@ def test_argmin_argmax_empty_array(self, method, data):
 
     @pytest.mark.parametrize("method", ["argmax", "argmin"])
     def test_argmin_argmax_all_na(self, method, data, na_value):
-        # all missing with skipna=True is the same as emtpy
+        # all missing with skipna=True is the same as empty
         err_msg = "attempt to get"
         data_na = type(data)._from_sequence([na_value, na_value], dtype=data.dtype)
         with pytest.raises(ValueError, match=err_msg):
@@ -530,7 +530,7 @@ def test_equals(self, data, na_value, as_series, box):
         # different length
         assert data[:2].equals(data[:3]) is False
 
-        # emtpy are equal
+        # empty are equal
         assert data[:0].equals(data[:0]) is True
 
         # other types

pandas/tests/extension/test_boolean.py

@@ -234,7 +234,7 @@ def test_argmin_argmax(self, data_for_sorting, data_missing_for_sorting):
         assert data_for_sorting.argmax() == 0
         assert data_for_sorting.argmin() == 2
 
-        # with repeated values -> first occurence
+        # with repeated values -> first occurrence
         data = data_for_sorting.take([2, 0, 0, 1, 1, 2])
         assert data.argmax() == 1
         assert data.argmin() == 0