simplify

Author: jbrockmendel

Diff for: pandas/tests/io/excel/test_readers.py

@@ -128,13 +128,16 @@ def df_ref(datapath):
     return df_ref
 
 
-def adjust_expected(expected: DataFrame, read_ext: str, engine: str | None) -> None:
-    expected.index.name = None
-
+def get_exp_unit(read_ext: str, engine: str | None) -> str:
     unit = "us"
     if (read_ext == ".ods") ^ (engine == "calamine"):
-        # TODO: why is .ods & calamine a separate special case?
         unit = "s"
+    return unit
+
+
+def adjust_expected(expected: DataFrame, read_ext: str, engine: str | None) -> None:
+    expected.index.name = None
+    unit = get_exp_unit(read_ext, engine)
     expected.index = expected.index.as_unit(unit)
 
 
@@ -307,11 +310,6 @@ def test_usecols_diff_positional_int_columns_order(
 
         expected = df_ref[["A", "C"]]
         adjust_expected(expected, read_ext, engine)
-        if engine == "calamine":
-            unit = "s"
-            if read_ext == ".ods":  # WTF?
-                unit = "us"
-            expected.index = expected.index.as_unit(unit)
 
         result = pd.read_excel(
             "test1" + read_ext, sheet_name="Sheet1", index_col=0, usecols=usecols
@@ -455,24 +453,26 @@ def test_excel_table(self, request, engine, read_ext, df_ref):
     def test_reader_special_dtypes(self, request, engine, read_ext):
         xfail_datetimes_with_pyxlsb(engine, request)
 
+        unit = get_exp_unit(read_ext, engine)
         expected = DataFrame.from_dict(
             {
                 "IntCol": [1, 2, -3, 4, 0],
                 "FloatCol": [1.25, 2.25, 1.83, 1.92, 0.0000000005],
                 "BoolCol": [True, False, True, True, False],
                 "StrCol": [1, 2, 3, 4, 5],
                 "Str2Col": ["a", 3, "c", "d", "e"],
-                "DateCol": [
-                    datetime(2013, 10, 30),
-                    datetime(2013, 10, 31),
-                    datetime(1905, 1, 1),
-                    datetime(2013, 12, 14),
-                    datetime(2015, 3, 14),
-                ],
+                "DateCol": Index(
+                    [
+                        datetime(2013, 10, 30),
+                        datetime(2013, 10, 31),
+                        datetime(1905, 1, 1),
+                        datetime(2013, 12, 14),
+                        datetime(2015, 3, 14),
+                    ],
+                    dtype=f"M8[{unit}]",
+                ),
             },
         )
-        if (read_ext == ".ods") ^ (engine == "calamine"):
-            expected["DateCol"] = expected["DateCol"].astype("M8[s]")
         basename = "test_types"
 
         # should read in correctly and infer types
@@ -632,8 +632,8 @@ def test_dtype_backend(self, read_ext, dtype_backend, engine):
             expected["j"] = ArrowExtensionArray(pa.array([None, None]))
         else:
             expected = df
-            if not ((read_ext == ".ods") ^ (engine == "calamine")):
-                expected["i"] = expected["i"].astype("M8[us]")
+            unit = get_exp_unit(read_ext, engine)
+            expected["i"] = expected["i"].astype(f"M8[{unit}]")
 
         tm.assert_frame_equal(result, expected)
 
@@ -1025,9 +1025,7 @@ def test_read_excel_multiindex(self, request, engine, read_ext):
         if engine == "calamine" and read_ext == ".ods":
             request.applymarker(pytest.mark.xfail(reason="Last test fails in calamine"))
 
-        unit = "us"
-        if (read_ext == ".ods") ^ (engine == "calamine"):
-            unit = "s"
+        unit = get_exp_unit(read_ext, engine)
 
         mi = MultiIndex.from_product([["foo", "bar"], ["a", "b"]])
         mi_file = "testmultiindex" + read_ext
@@ -1122,9 +1120,9 @@ def test_read_excel_multiindex_blank_after_name(
 
         mi_file = "testmultiindex" + read_ext
         mi = MultiIndex.from_product([["foo", "bar"], ["a", "b"]], names=["c1", "c2"])
-        unit = "us"
-        if (read_ext == ".ods") ^ (engine == "calamine"):
-            unit = "s"
+
+        unit = get_exp_unit(read_ext, engine)
+
         expected = DataFrame(
             [
                 [1, 2.5, pd.Timestamp("2015-01-01").as_unit(unit), True],
@@ -1241,13 +1239,7 @@ def test_read_excel_skiprows(self, request, engine, read_ext):
         # GH 4903
         xfail_datetimes_with_pyxlsb(engine, request)
 
-        unit = "us"
-        if read_ext == ".ods":
-            unit = "s"
-            if engine == "calamine":
-                unit = "us"
-        elif engine == "calamine":
-            unit = "s"
+        unit = get_exp_unit(read_ext, engine)
 
         actual = pd.read_excel(
             "testskiprows" + read_ext, sheet_name="skiprows_list", skiprows=[0, 2]
@@ -1300,13 +1292,7 @@ def test_read_excel_skiprows(self, request, engine, read_ext):
     def test_read_excel_skiprows_callable_not_in(self, request, engine, read_ext):
         # GH 4903
         xfail_datetimes_with_pyxlsb(engine, request)
-        unit = "us"
-        if read_ext == ".ods":
-            unit = "s"
-            if engine == "calamine":
-                unit = "us"  # WTF?
-        elif engine == "calamine":
-            unit = "s"
+        unit = get_exp_unit(read_ext, engine)
 
         actual = pd.read_excel(
             "testskiprows" + read_ext,
@@ -1578,11 +1564,6 @@ def test_excel_table_sheet_by_index(self, request, engine, read_ext, df_ref):
 
         expected = df_ref
         adjust_expected(expected, read_ext, engine)
-        if engine == "calamine":
-            unit = "s"
-            if read_ext == ".ods":
-                unit = "us"
-            expected.index = expected.index.as_unit(unit)
 
         with pd.ExcelFile("test1" + read_ext) as excel:
             df1 = pd.read_excel(excel, sheet_name=0, index_col=0)
@@ -1610,11 +1591,6 @@ def test_sheet_name(self, request, engine, read_ext, df_ref):
 
         expected = df_ref
         adjust_expected(expected, read_ext, engine)
-        if engine == "calamine":
-            unit = "s"
-            if read_ext == ".ods":
-                unit = "us"
-            expected.index = expected.index.as_unit(unit)
 
         filename = "test1"
         sheet_name = "Sheet1"
@@ -1706,9 +1682,7 @@ def test_read_datetime_multiindex(self, request, engine, read_ext):
         f = "test_datetime_mi" + read_ext
         with pd.ExcelFile(f) as excel:
             actual = pd.read_excel(excel, header=[0, 1], index_col=0, engine=engine)
-        unit = "us"
-        if (read_ext == ".ods") ^ (engine == "calamine"):
-            unit = "s"
+        unit = get_exp_unit(read_ext, engine)
         expected_column_index = MultiIndex.from_tuples(
             [
                 (