TST: collect tests by method, split large tests

pandas/core/frame.py

@@ -589,12 +589,14 @@ def __init__(
 
         elif isinstance(data, (np.ndarray, Series, Index)):
             if data.dtype.names:
+                # i.e. numpy structured array
                 data_columns = list(data.dtype.names)
                 data = {k: data[k] for k in data_columns}
                 if columns is None:
                     columns = data_columns
                 mgr = dict_to_mgr(data, index, columns, dtype=dtype)
             elif getattr(data, "name", None) is not None:
+                # i.e. Series/Index with non-None name
                 mgr = dict_to_mgr({data.name: data}, index, columns, dtype=dtype)
             else:
                 mgr = ndarray_to_mgr(data, index, columns, dtype=dtype, copy=copy)

pandas/tests/frame/test_constructors.py

@@ -1722,12 +1722,15 @@ def test_constructor_with_datetimes(self):
         )
         tm.assert_series_equal(result, expected)
 
+    def test_constructor_with_datetimes1(self):
+
         # GH 2809
         ind = date_range(start="2000-01-01", freq="D", periods=10)
         datetimes = [ts.to_pydatetime() for ts in ind]
         datetime_s = Series(datetimes)
         assert datetime_s.dtype == "M8[ns]"
 
+    def test_constructor_with_datetimes2(self):
         # GH 2810
         ind = date_range(start="2000-01-01", freq="D", periods=10)
         datetimes = [ts.to_pydatetime() for ts in ind]
@@ -1741,6 +1744,7 @@ def test_constructor_with_datetimes(self):
         )
         tm.assert_series_equal(result, expected)
 
+    def test_constructor_with_datetimes3(self):
         # GH 7594
         # don't coerce tz-aware
         tz = pytz.timezone("US/Eastern")
@@ -1758,6 +1762,7 @@ def test_constructor_with_datetimes(self):
             df.dtypes, Series({"End Date": "datetime64[ns, US/Eastern]"})
         )
 
+    def test_constructor_with_datetimes4(self):
         # tz-aware (UTC and other tz's)
         # GH 8411
         dr = date_range("20130101", periods=3)
@@ -1770,6 +1775,7 @@ def test_constructor_with_datetimes(self):
         df = DataFrame({"value": dr})
         assert str(df.iat[0, 0].tz) == "US/Eastern"
 
+    def test_constructor_with_datetimes5(self):
         # GH 7822
         # preserver an index with a tz on dict construction
         i = date_range("1/1/2011", periods=5, freq="10s", tz="US/Eastern")
@@ -1782,7 +1788,9 @@ def test_constructor_with_datetimes(self):
         df = DataFrame({"a": i})
         tm.assert_frame_equal(df, expected)
 
+    def test_constructor_with_datetimes6(self):
         # multiples
+        i = date_range("1/1/2011", periods=5, freq="10s", tz="US/Eastern")
         i_no_tz = date_range("1/1/2011", periods=5, freq="10s")
         df = DataFrame({"a": i, "b": i_no_tz})
         expected = DataFrame({"a": i.to_series().reset_index(drop=True), "b": i_no_tz})

pandas/tests/indexes/categorical/test_append.py

@@ -0,0 +1,62 @@
+import pytest
+
+from pandas import (
+    CategoricalIndex,
+    Index,
+)
+import pandas._testing as tm
+
+
+class TestAppend:
+    @pytest.fixture
+    def ci(self):
+        categories = list("cab")
+        return CategoricalIndex(list("aabbca"), categories=categories, ordered=False)
+
+    def test_append(self, ci):
+        # append cats with the same categories
+        result = ci[:3].append(ci[3:])
+        tm.assert_index_equal(result, ci, exact=True)
+
+        foos = [ci[:1], ci[1:3], ci[3:]]
+        result = foos[0].append(foos[1:])
+        tm.assert_index_equal(result, ci, exact=True)
+
+    def test_append_empty(self, ci):
+        # empty
+        result = ci.append([])
+        tm.assert_index_equal(result, ci, exact=True)
+
+    def test_append_mismatched_categories(self, ci):
+        # appending with different categories or reordered is not ok
+        msg = "all inputs must be Index"
+        with pytest.raises(TypeError, match=msg):
+            ci.append(ci.values.set_categories(list("abcd")))
+        with pytest.raises(TypeError, match=msg):
+            ci.append(ci.values.reorder_categories(list("abc")))
+
+    def test_append_category_objects(self, ci):
+        # with objects
+        result = ci.append(Index(["c", "a"]))
+        expected = CategoricalIndex(list("aabbcaca"), categories=ci.categories)
+        tm.assert_index_equal(result, expected, exact=True)
+
+    def test_append_non_categories(self, ci):
+        # invalid objects -> cast to object via concat_compat
+        result = ci.append(Index(["a", "d"]))
+        expected = Index(["a", "a", "b", "b", "c", "a", "a", "d"])
+        tm.assert_index_equal(result, expected, exact=True)
+
+    def test_append_object(self, ci):
+        # GH#14298 - if base object is not categorical -> coerce to object
+        result = Index(["c", "a"]).append(ci)
+        expected = Index(list("caaabbca"))
+        tm.assert_index_equal(result, expected, exact=True)
+
+    def test_append_to_another(self):
+        # hits Index._concat
+        fst = Index(["a", "b"])
+        snd = CategoricalIndex(["d", "e"])
+        result = fst.append(snd)
+        expected = Index(["a", "b", "d", "e"])
+        tm.assert_index_equal(result, expected)

pandas/tests/indexes/categorical/test_category.py

@@ -30,53 +30,6 @@ def test_can_hold_identifiers(self):
         key = idx[0]
         assert idx._can_hold_identifiers_and_holds_name(key) is True
 
-    def test_append(self):
-
-        ci = self.create_index()
-        categories = ci.categories
-
-        # append cats with the same categories
-        result = ci[:3].append(ci[3:])
-        tm.assert_index_equal(result, ci, exact=True)
-
-        foos = [ci[:1], ci[1:3], ci[3:]]
-        result = foos[0].append(foos[1:])
-        tm.assert_index_equal(result, ci, exact=True)
-
-        # empty
-        result = ci.append([])
-        tm.assert_index_equal(result, ci, exact=True)
-
-        # appending with different categories or reordered is not ok
-        msg = "all inputs must be Index"
-        with pytest.raises(TypeError, match=msg):
-            ci.append(ci.values.set_categories(list("abcd")))
-        with pytest.raises(TypeError, match=msg):
-            ci.append(ci.values.reorder_categories(list("abc")))
-
-        # with objects
-        result = ci.append(Index(["c", "a"]))
-        expected = CategoricalIndex(list("aabbcaca"), categories=categories)
-        tm.assert_index_equal(result, expected, exact=True)
-
-        # invalid objects -> cast to object via concat_compat
-        result = ci.append(Index(["a", "d"]))
-        expected = Index(["a", "a", "b", "b", "c", "a", "a", "d"])
-        tm.assert_index_equal(result, expected, exact=True)
-
-        # GH14298 - if base object is not categorical -> coerce to object
-        result = Index(["c", "a"]).append(ci)
-        expected = Index(list("caaabbca"))
-        tm.assert_index_equal(result, expected, exact=True)
-
-    def test_append_to_another(self):
-        # hits Index._concat
-        fst = Index(["a", "b"])
-        snd = CategoricalIndex(["d", "e"])
-        result = fst.append(snd)
-        expected = Index(["a", "b", "d", "e"])
-        tm.assert_index_equal(result, expected)
-
     def test_insert(self):
 
         ci = self.create_index()
@@ -326,12 +279,6 @@ def test_map_str(self):
 class TestCategoricalIndex2:
     # Tests that are not overriding a test in Base
 
-    def test_format_different_scalar_lengths(self):
-        # GH35439
-        idx = CategoricalIndex(["aaaaaaaaa", "b"])
-        expected = ["aaaaaaaaa", "b"]
-        assert idx.format() == expected
-
     @pytest.mark.parametrize(
         "dtype, engine_type",
         [

pandas/tests/indexes/categorical/test_formats.py

@@ -7,6 +7,12 @@
 
 
 class TestCategoricalIndexRepr:
+    def test_format_different_scalar_lengths(self):
+        # GH#35439
+        idx = CategoricalIndex(["aaaaaaaaa", "b"])
+        expected = ["aaaaaaaaa", "b"]
+        assert idx.format() == expected
+
     def test_string_categorical_index_repr(self):
         # short
         idx = CategoricalIndex(["a", "bb", "ccc"])

pandas/tests/indexes/datetimes/test_indexing.py

@@ -551,6 +551,13 @@ def test_get_loc_reasonable_key_error(self):
         with pytest.raises(KeyError, match="2000"):
             index.get_loc("1/1/2000")
 
+    def test_get_loc_year_str(self):
+        rng = date_range("1/1/2000", "1/1/2010")
+
+        result = rng.get_loc("2009")
+        expected = slice(3288, 3653)
+        assert result == expected
+
 
 class TestContains:
     def test_dti_contains_with_duplicates(self):

pandas/tests/indexes/datetimes/test_misc.py

@@ -37,6 +37,8 @@ def test_range_edges(self):
         )
         tm.assert_index_equal(idx, exp)
 
+    def test_range_edges2(self):
+
         idx = date_range(
             start=Timestamp("1970-01-01 00:00:00.000000004"),
             end=Timestamp("1970-01-01 00:00:00.000000001"),
@@ -45,6 +47,8 @@ def test_range_edges(self):
         exp = DatetimeIndex([], freq="N")
         tm.assert_index_equal(idx, exp)
 
+    def test_range_edges3(self):
+
         idx = date_range(
             start=Timestamp("1970-01-01 00:00:00.000000001"),
             end=Timestamp("1970-01-01 00:00:00.000000001"),
@@ -53,6 +57,8 @@ def test_range_edges(self):
         exp = DatetimeIndex(["1970-01-01 00:00:00.000000001"], freq="N")
         tm.assert_index_equal(idx, exp)
 
+    def test_range_edges4(self):
+
         idx = date_range(
             start=Timestamp("1970-01-01 00:00:00.000001"),
             end=Timestamp("1970-01-01 00:00:00.000004"),
@@ -69,6 +75,8 @@ def test_range_edges(self):
         )
         tm.assert_index_equal(idx, exp)
 
+    def test_range_edges5(self):
+
         idx = date_range(
             start=Timestamp("1970-01-01 00:00:00.001"),
             end=Timestamp("1970-01-01 00:00:00.004"),
@@ -85,6 +93,7 @@ def test_range_edges(self):
         )
         tm.assert_index_equal(idx, exp)
 
+    def test_range_edges6(self):
         idx = date_range(
             start=Timestamp("1970-01-01 00:00:01"),
             end=Timestamp("1970-01-01 00:00:04"),
@@ -101,6 +110,7 @@ def test_range_edges(self):
         )
         tm.assert_index_equal(idx, exp)
 
+    def test_range_edges7(self):
         idx = date_range(
             start=Timestamp("1970-01-01 00:01"),
             end=Timestamp("1970-01-01 00:04"),
@@ -117,6 +127,7 @@ def test_range_edges(self):
         )
         tm.assert_index_equal(idx, exp)
 
+    def test_range_edges8(self):
         idx = date_range(
             start=Timestamp("1970-01-01 01:00"),
             end=Timestamp("1970-01-01 04:00"),
@@ -133,6 +144,7 @@ def test_range_edges(self):
         )
         tm.assert_index_equal(idx, exp)
 
+    def test_range_edges9(self):
         idx = date_range(
             start=Timestamp("1970-01-01"), end=Timestamp("1970-01-04"), freq="D"
         )
@@ -234,24 +246,28 @@ def test_datetimeindex_accessors(self):
             exp = DatetimeIndex([], freq="D", tz=dti.tz, name="name")
             tm.assert_index_equal(res, exp)
 
+    def test_datetimeindex_accessors2(self):
         dti = date_range(freq="BQ-FEB", start=datetime(1998, 1, 1), periods=4)
 
         assert sum(dti.is_quarter_start) == 0
         assert sum(dti.is_quarter_end) == 4
         assert sum(dti.is_year_start) == 0
         assert sum(dti.is_year_end) == 1
 
+    def test_datetimeindex_accessors3(self):
         # Ensure is_start/end accessors throw ValueError for CustomBusinessDay,
         bday_egypt = offsets.CustomBusinessDay(weekmask="Sun Mon Tue Wed Thu")
         dti = date_range(datetime(2013, 4, 30), periods=5, freq=bday_egypt)
         msg = "Custom business days is not supported by is_month_start"
         with pytest.raises(ValueError, match=msg):
             dti.is_month_start
 
+    def test_datetimeindex_accessors4(self):
         dti = DatetimeIndex(["2000-01-01", "2000-01-02", "2000-01-03"])
 
         assert dti.is_month_start[0] == 1
 
+    def test_datetimeindex_accessors5(self):
         tests = [
             (Timestamp("2013-06-01", freq="M").is_month_start, 1),
             (Timestamp("2013-06-01", freq="BM").is_month_start, 0),
@@ -290,6 +306,7 @@ def test_datetimeindex_accessors(self):
         for ts, value in tests:
             assert ts == value
 
+    def test_datetimeindex_accessors6(self):
         # GH 6538: Check that DatetimeIndex and its TimeStamp elements
         # return the same weekofyear accessor close to new year w/ tz
         dates = ["2013/12/29", "2013/12/30", "2013/12/31"]

pandas/tests/indexes/datetimes/test_partial_slicing.py

@@ -55,12 +55,6 @@ def test_slice_year(self):
         expected = df[df.index.year == 2005]
         tm.assert_frame_equal(result, expected)
 
-        rng = date_range("1/1/2000", "1/1/2010")
-
-        result = rng.get_loc("2009")
-        expected = slice(3288, 3653)
-        assert result == expected
-
     @pytest.mark.parametrize(
         "partial_dtime",
         [

pandas/tests/indexes/period/test_period.py

@@ -253,14 +253,6 @@ def test_is_(self):
         assert not index.is_(index - 2)
         assert not index.is_(index - 0)
 
-    def test_periods_number_check(self):
-        msg = (
-            "Of the three parameters: start, end, and periods, exactly two "
-            "must be specified"
-        )
-        with pytest.raises(ValueError, match=msg):
-            period_range("2011-1-1", "2012-1-1", "B")
-
     def test_index_duplicate_periods(self):
         # monotonic
         idx = PeriodIndex([2000, 2007, 2007, 2009, 2009], freq="A-JUN")
@@ -348,13 +340,6 @@ def test_with_multi_index(self):
 
         assert isinstance(s.index.values[0][0], Period)
 
-    def test_convert_array_of_periods(self):
-        rng = period_range("1/1/2000", periods=20, freq="D")
-        periods = list(rng)
-
-        result = Index(periods)
-        assert isinstance(result, PeriodIndex)
-
     def test_pickle_freq(self):
         # GH2891
         prng = period_range("1/1/2011", "1/1/2012", freq="M")

pandas/tests/indexes/period/test_period_range.py

@@ -12,6 +12,14 @@
 
 
 class TestPeriodRange:
+    def test_required_arguments(self):
+        msg = (
+            "Of the three parameters: start, end, and periods, exactly two "
+            "must be specified"
+        )
+        with pytest.raises(ValueError, match=msg):
+            period_range("2011-1-1", "2012-1-1", "B")
+
     @pytest.mark.parametrize("freq", ["D", "W", "M", "Q", "A"])
     def test_construction_from_string(self, freq):
         # non-empty

pandas/tests/indexes/test_index_new.py

@@ -80,6 +80,13 @@ def test_constructor_infer_periodindex(self):
         tm.assert_index_equal(rs, xp)
         assert isinstance(rs, PeriodIndex)
 
+    def test_from_list_of_periods(self):
+        rng = period_range("1/1/2000", periods=20, freq="D")
+        periods = list(rng)
+
+        result = Index(periods)
+        assert isinstance(result, PeriodIndex)
+
     @pytest.mark.parametrize("pos", [0, 1])
     @pytest.mark.parametrize(
         "klass,dtype,ctor",