REF: organize Series indexing tests

pandas/tests/series/indexing/test_datetime.py

@@ -148,7 +148,6 @@ def test_frame_datetime64_duplicated():
 
 def test_getitem_setitem_datetime_tz_pytz():
     from pytz import timezone as tz
-    from pandas import date_range
 
     N = 50
     # testing with timezone, GH #2785
@@ -189,8 +188,6 @@ def test_getitem_setitem_datetime_tz_dateutil():
         lambda x: tzutc() if x == "UTC" else gettz(x)
     )  # handle special case for utc in dateutil
 
-    from pandas import date_range
-
     N = 50
 
     # testing with timezone, GH #2785
@@ -373,7 +370,6 @@ def test_getitem_median_slice_bug():
 
 
 def test_datetime_indexing():
-    from pandas import date_range
 
     index = date_range("1/1/2000", "1/7/2000")
     index = index.repeat(3)

pandas/tests/series/indexing/test_get.py

@@ -0,0 +1,134 @@
+import numpy as np
+
+import pandas as pd
+from pandas import Series
+
+
+def test_get():
+    # GH 6383
+    s = Series(
+        np.array(
+            [
+                43,
+                48,
+                60,
+                48,
+                50,
+                51,
+                50,
+                45,
+                57,
+                48,
+                56,
+                45,
+                51,
+                39,
+                55,
+                43,
+                54,
+                52,
+                51,
+                54,
+            ]
+        )
+    )
+
+    result = s.get(25, 0)
+    expected = 0
+    assert result == expected
+
+    s = Series(
+        np.array(
+            [
+                43,
+                48,
+                60,
+                48,
+                50,
+                51,
+                50,
+                45,
+                57,
+                48,
+                56,
+                45,
+                51,
+                39,
+                55,
+                43,
+                54,
+                52,
+                51,
+                54,
+            ]
+        ),
+        index=pd.Float64Index(
+            [
+                25.0,
+                36.0,
+                49.0,
+                64.0,
+                81.0,
+                100.0,
+                121.0,
+                144.0,
+                169.0,
+                196.0,
+                1225.0,
+                1296.0,
+                1369.0,
+                1444.0,
+                1521.0,
+                1600.0,
+                1681.0,
+                1764.0,
+                1849.0,
+                1936.0,
+            ]
+        ),
+    )
+
+    result = s.get(25, 0)
+    expected = 43
+    assert result == expected
+
+    # GH 7407
+    # with a boolean accessor
+    df = pd.DataFrame({"i": [0] * 3, "b": [False] * 3})
+    vc = df.i.value_counts()
+    result = vc.get(99, default="Missing")
+    assert result == "Missing"
+
+    vc = df.b.value_counts()
+    result = vc.get(False, default="Missing")
+    assert result == 3
+
+    result = vc.get(True, default="Missing")
+    assert result == "Missing"
+
+
+def test_get_nan():
+    # GH 8569
+    s = pd.Float64Index(range(10)).to_series()
+    assert s.get(np.nan) is None
+    assert s.get(np.nan, default="Missing") == "Missing"
+
+
+def test_get_nan_multiple():
+    # GH 8569
+    # ensure that fixing "test_get_nan" above hasn't broken get
+    # with multiple elements
+    s = pd.Float64Index(range(10)).to_series()
+
+    idx = [2, 30]
+    assert s.get(idx) is None
+
+    idx = [2, np.nan]
+    assert s.get(idx) is None
+
+    # GH 17295 - all missing keys
+    idx = [20, 30]
+    assert s.get(idx) is None
+
+    idx = [np.nan, np.nan]
+    assert s.get(idx) is None

pandas/tests/series/indexing/test_indexing.py

@@ -883,41 +883,6 @@ def test_pop():
     tm.assert_series_equal(k, expected)
 
 
-def test_take():
-    s = Series([-1, 5, 6, 2, 4])
-
-    actual = s.take([1, 3, 4])
-    expected = Series([5, 2, 4], index=[1, 3, 4])
-    tm.assert_series_equal(actual, expected)
-
-    actual = s.take([-1, 3, 4])
-    expected = Series([4, 2, 4], index=[4, 3, 4])
-    tm.assert_series_equal(actual, expected)
-
-    msg = "index {} is out of bounds for( axis 0 with)? size 5"
-    with pytest.raises(IndexError, match=msg.format(10)):
-        s.take([1, 10])
-    with pytest.raises(IndexError, match=msg.format(5)):
-        s.take([2, 5])
-
-
-def test_take_categorical():
-    # https://github.com/pandas-dev/pandas/issues/20664
-    s = Series(pd.Categorical(["a", "b", "c"]))
-    result = s.take([-2, -2, 0])
-    expected = Series(
-        pd.Categorical(["b", "b", "a"], categories=["a", "b", "c"]), index=[1, 1, 0]
-    )
-    tm.assert_series_equal(result, expected)
-
-
-def test_head_tail(string_series):
-    tm.assert_series_equal(string_series.head(), string_series[:5])
-    tm.assert_series_equal(string_series.head(0), string_series[0:0])
-    tm.assert_series_equal(string_series.tail(), string_series[-5:])
-    tm.assert_series_equal(string_series.tail(0), string_series[0:0])
-
-
 def test_uint_drop(any_int_dtype):
     # see GH18311
     # assigning series.loc[0] = 4 changed series.dtype to int

pandas/tests/series/indexing/test_mask.py

@@ -0,0 +1,65 @@
+import numpy as np
+import pytest
+
+from pandas import Series
+import pandas._testing as tm
+
+
+def test_mask():
+    # compare with tested results in test_where
+    s = Series(np.random.randn(5))
+    cond = s > 0
+
+    rs = s.where(~cond, np.nan)
+    tm.assert_series_equal(rs, s.mask(cond))
+
+    rs = s.where(~cond)
+    rs2 = s.mask(cond)
+    tm.assert_series_equal(rs, rs2)
+
+    rs = s.where(~cond, -s)
+    rs2 = s.mask(cond, -s)
+    tm.assert_series_equal(rs, rs2)
+
+    cond = Series([True, False, False, True, False], index=s.index)
+    s2 = -(s.abs())
+    rs = s2.where(~cond[:3])
+    rs2 = s2.mask(cond[:3])
+    tm.assert_series_equal(rs, rs2)
+
+    rs = s2.where(~cond[:3], -s2)
+    rs2 = s2.mask(cond[:3], -s2)
+    tm.assert_series_equal(rs, rs2)
+
+    msg = "Array conditional must be same shape as self"
+    with pytest.raises(ValueError, match=msg):
+        s.mask(1)
+    with pytest.raises(ValueError, match=msg):
+        s.mask(cond[:3].values, -s)
+
+    # dtype changes
+    s = Series([1, 2, 3, 4])
+    result = s.mask(s > 2, np.nan)
+    expected = Series([1, 2, np.nan, np.nan])
+    tm.assert_series_equal(result, expected)
+
+    # see gh-21891
+    s = Series([1, 2])
+    res = s.mask([True, False])
+
+    exp = Series([np.nan, 2])
+    tm.assert_series_equal(res, exp)
+
+
+def test_mask_inplace():
+    s = Series(np.random.randn(5))
+    cond = s > 0
+
+    rs = s.copy()
+    rs.mask(cond, inplace=True)
+    tm.assert_series_equal(rs.dropna(), s[~cond])
+    tm.assert_series_equal(rs, s.mask(cond))
+
+    rs = s.copy()
+    rs.mask(cond, -s, inplace=True)
+    tm.assert_series_equal(rs, s.mask(cond, -s))