class Indexing(object):
def setup(self):
self.index = PeriodIndex(start='1985', periods=1000, freq='D')
self.series = Series(range(1000), index=self.index)
self.period = self.index[500]
def time_get_loc(self):
self.index.get_loc(self.period)
def time_shape(self):
self.index.shape
def time_shallow_copy(self):
self.index._shallow_copy()
def time_series_loc(self):
self.series.loc[self.period]
def time_align(self):
DataFrame({'a': self.series, 'b': self.series[:500]})
def time_intersection(self):
self.index[:750].intersection(self.index[250:])
def time_unique(self):
self.index.unique()
def test_contains(self):
# GH 17717
p0 = Period("2017-09-01")
p1 = Period("2017-09-02")
p2 = Period("2017-09-03")
p3 = Period("2017-09-04")
ps0 = [p0, p1, p2]
idx0 = PeriodIndex(ps0)
ser = pd.Series(range(6, 9), index=idx0)
for p in ps0:
assert p in idx0
assert str(p) in idx0
# GH#31172
# Higher-resolution period-like are _not_ considered as contained
key = "2017-09-01 00:00:01"
assert key not in idx0
with pytest.raises(KeyError, match=key):
idx0.get_loc(key)
with pytest.raises(KeyError, match=key):
idx0.get_value(ser, key)
assert "2017-09" in idx0
assert p3 not in idx0
class Indexing(object):
goal_time = 0.2
def setup(self):
self.index = PeriodIndex(start='1985', periods=1000, freq='D')
self.series = Series(range(1000), index=self.index)
self.period = self.index[500]
def time_get_loc(self):
self.index.get_loc(self.period)
def time_shape(self):
self.index.shape
def time_shallow_copy(self):
self.index._shallow_copy()
def time_series_loc(self):
self.series.loc[self.period]
def time_align(self):
pd.DataFrame({'a': self.series, 'b': self.series[:500]})
def time_intersection(self):
self.index[:750].intersection(self.index[250:])
def test_get_loc(self):
# GH 17717
p0 = Period("2017-09-01")
p1 = Period("2017-09-02")
p2 = Period("2017-09-03")
# get the location of p1/p2 from
# monotonic increasing PeriodIndex with non-duplicate
idx0 = PeriodIndex([p0, p1, p2])
expected_idx1_p1 = 1
expected_idx1_p2 = 2
assert idx0.get_loc(p1) == expected_idx1_p1
assert idx0.get_loc(str(p1)) == expected_idx1_p1
assert idx0.get_loc(p2) == expected_idx1_p2
assert idx0.get_loc(str(p2)) == expected_idx1_p2
msg = "Cannot interpret 'foo' as period"
with pytest.raises(KeyError, match=msg):
idx0.get_loc("foo")
with pytest.raises(KeyError, match=r"^1\.1$"):
idx0.get_loc(1.1)
with pytest.raises(InvalidIndexError, match=re.escape(str(idx0))):
idx0.get_loc(idx0)
# get the location of p1/p2 from
# monotonic increasing PeriodIndex with duplicate
idx1 = PeriodIndex([p1, p1, p2])
expected_idx1_p1 = slice(0, 2)
expected_idx1_p2 = 2
assert idx1.get_loc(p1) == expected_idx1_p1
assert idx1.get_loc(str(p1)) == expected_idx1_p1
assert idx1.get_loc(p2) == expected_idx1_p2
assert idx1.get_loc(str(p2)) == expected_idx1_p2
msg = "Cannot interpret 'foo' as period"
with pytest.raises(KeyError, match=msg):
idx1.get_loc("foo")
with pytest.raises(KeyError, match=r"^1\.1$"):
idx1.get_loc(1.1)
with pytest.raises(InvalidIndexError, match=re.escape(str(idx1))):
idx1.get_loc(idx1)
# get the location of p1/p2 from
# non-monotonic increasing/decreasing PeriodIndex with duplicate
idx2 = PeriodIndex([p2, p1, p2])
expected_idx2_p1 = 1
expected_idx2_p2 = np.array([True, False, True])
assert idx2.get_loc(p1) == expected_idx2_p1
assert idx2.get_loc(str(p1)) == expected_idx2_p1
tm.assert_numpy_array_equal(idx2.get_loc(p2), expected_idx2_p2)
tm.assert_numpy_array_equal(idx2.get_loc(str(p2)), expected_idx2_p2)