def get_objs():
indexes = [
tm.makeBoolIndex(10, name="a"),
tm.makeIntIndex(10, name="a"),
tm.makeFloatIndex(10, name="a"),
tm.makeDateIndex(10, name="a"),
tm.makeDateIndex(10, name="a").tz_localize(tz="US/Eastern"),
tm.makePeriodIndex(10, name="a"),
tm.makeStringIndex(10, name="a"),
]
arr = np.random.randn(10)
series = [Series(arr, index=idx, name="a") for idx in indexes]
objs = indexes + series
return objs
def setup_method(self, method):
self.bool_index = tm.makeBoolIndex(10, name="a")
self.int_index = tm.makeIntIndex(10, name="a")
self.float_index = tm.makeFloatIndex(10, name="a")
self.dt_index = tm.makeDateIndex(10, name="a")
self.dt_tz_index = tm.makeDateIndex(10, name="a").tz_localize(tz="US/Eastern")
self.period_index = tm.makePeriodIndex(10, name="a")
self.string_index = tm.makeStringIndex(10, name="a")
self.unicode_index = tm.makeUnicodeIndex(10, name="a")
arr = np.random.randn(10)
self.bool_series = Series(arr, index=self.bool_index, name="a")
self.int_series = Series(arr, index=self.int_index, name="a")
self.float_series = Series(arr, index=self.float_index, name="a")
self.dt_series = Series(arr, index=self.dt_index, name="a")
self.dt_tz_series = self.dt_tz_index.to_series()
self.period_series = Series(arr, index=self.period_index, name="a")
self.string_series = Series(arr, index=self.string_index, name="a")
self.unicode_series = Series(arr, index=self.unicode_index, name="a")
types = ["bool", "int", "float", "dt", "dt_tz", "period", "string", "unicode"]
self.indexes = [getattr(self, f"{t}_index") for t in types]
self.series = [getattr(self, f"{t}_series") for t in types]
# To test narrow dtypes, we use narrower *data* elements, not *index* elements
index = self.int_index
self.float32_series = Series(arr.astype(np.float32), index=index, name="a")
arr_int = np.random.choice(10, size=10, replace=False)
self.int8_series = Series(arr_int.astype(np.int8), index=index, name="a")
self.int16_series = Series(arr_int.astype(np.int16), index=index, name="a")
self.int32_series = Series(arr_int.astype(np.int32), index=index, name="a")
self.uint8_series = Series(arr_int.astype(np.uint8), index=index, name="a")
self.uint16_series = Series(arr_int.astype(np.uint16), index=index, name="a")
self.uint32_series = Series(arr_int.astype(np.uint32), index=index, name="a")
nrw_types = ["float32", "int8", "int16", "int32", "uint8", "uint16", "uint32"]
self.narrow_series = [getattr(self, f"{t}_series") for t in nrw_types]
self.objs = self.indexes + self.series + self.narrow_series
names=["one", "two", "three"],
)
indices_dict = {
"unicode": tm.makeUnicodeIndex(100),
"string": tm.makeStringIndex(100),
"datetime": tm.makeDateIndex(100),
"datetime-tz": tm.makeDateIndex(100, tz="US/Pacific"),
"period": tm.makePeriodIndex(100),
"timedelta": tm.makeTimedeltaIndex(100),
"int": tm.makeIntIndex(100),
"uint": tm.makeUIntIndex(100),
"range": tm.makeRangeIndex(100),
"float": tm.makeFloatIndex(100),
"bool": tm.makeBoolIndex(10),
"categorical": tm.makeCategoricalIndex(100),
"interval": tm.makeIntervalIndex(100),
"empty": Index([]),
"tuples": MultiIndex.from_tuples(zip(["foo", "bar", "baz"], [1, 2, 3])),
"mi-with-dt64tz-level": _create_mi_with_dt64tz_level(),
"multi": _create_multiindex(),
"repeats": Index([0, 0, 1, 1, 2, 2]),
}
@pytest.fixture(params=indices_dict.keys())
def index(request):
"""
Fixture for many "simple" kinds of indices.
"uint": tm.makeUIntIndex(100),
"range": tm.makeRangeIndex(100),
"float": tm.makeFloatIndex(100),
"complex64": tm.makeFloatIndex(100).astype("complex64"),
"complex128": tm.makeFloatIndex(100).astype("complex128"),
"num_int64": tm.makeNumericIndex(100, dtype="int64"),
"num_int32": tm.makeNumericIndex(100, dtype="int32"),
"num_int16": tm.makeNumericIndex(100, dtype="int16"),
"num_int8": tm.makeNumericIndex(100, dtype="int8"),
"num_uint64": tm.makeNumericIndex(100, dtype="uint64"),
"num_uint32": tm.makeNumericIndex(100, dtype="uint32"),
"num_uint16": tm.makeNumericIndex(100, dtype="uint16"),
"num_uint8": tm.makeNumericIndex(100, dtype="uint8"),
"num_float64": tm.makeNumericIndex(100, dtype="float64"),
"num_float32": tm.makeNumericIndex(100, dtype="float32"),
"bool-object": tm.makeBoolIndex(10).astype(object),
"bool-dtype": Index(np.random.randn(10) < 0),
"categorical": tm.makeCategoricalIndex(100),
"interval": tm.makeIntervalIndex(100),
"empty": Index([]),
"tuples": MultiIndex.from_tuples(zip(["foo", "bar", "baz"], [1, 2, 3])),
"mi-with-dt64tz-level": _create_mi_with_dt64tz_level(),
"multi": _create_multiindex(),
"repeats": Index([0, 0, 1, 1, 2, 2]),
"nullable_int": Index(np.arange(100), dtype="Int64"),
"nullable_uint": Index(np.arange(100), dtype="UInt16"),
"nullable_float": Index(np.arange(100), dtype="Float32"),
"nullable_bool": Index(np.arange(100).astype(bool), dtype="boolean"),
"string-python": Index(pd.array(tm.makeStringIndex(100), dtype="string[python]")),
}
if has_pyarrow:
"num_int8": tm.makeNumericIndex(100, dtype="int8"), "num_uint64": tm.makeNumericIndex(100, dtype="uint64"), "num_uint32": tm.makeNumericIndex(100, dtype="uint32"), "num_uint16": tm.makeNumericIndex(100, dtype="uint16"), "num_uint8": tm.makeNumericIndex(100, dtype="uint8"), "num_float64": tm.makeNumericIndex(100, dtype="float64"), "num_float32": tm.makeNumericIndex(100, dtype="float32"), "bool-object": tm.makeBoolIndex(10).astype(object), "bool-dtype": Index(np.random.randn(10) < 0), "categorical": tm.makeCategoricalIndex(100), "interval": tm.makeIntervalIndex(100), "empty": Index([]), "tuples": MultiIndex.from_tuples(zip(["foo", "bar", "baz"], [1, 2, 3])), "mi-with-dt64tz-level": _create_mi_with_dt64tz_level(), "multi": _create_multiindex(), "repeats":
)
return mi
indices_dict = {
"unicode": tm.makeUnicodeIndex(100),
"string": tm.makeStringIndex(100),
"datetime": tm.makeDateIndex(100),
"datetime-tz": tm.makeDateIndex(100, tz="US/Pacific"),
"period": tm.makePeriodIndex(100),
"timedelta": tm.makeTimedeltaIndex(100),
"int": tm.makeIntIndex(100),
"uint": tm.makeUIntIndex(100),
"range": tm.makeRangeIndex(100),
"float": tm.makeFloatIndex(100),
"bool": tm.makeBoolIndex(2),
"categorical": tm.makeCategoricalIndex(100),
"interval": tm.makeIntervalIndex(100),
"empty": Index([]),
"tuples": MultiIndex.from_tuples(zip(["foo", "bar", "baz"], [1, 2, 3])),
"multi": _gen_mi(),
"repeats": Index([0, 0, 1, 1, 2, 2]),
}
@pytest.fixture(params=indices_dict.keys())
def indices(request):
# copy to avoid mutation, e.g. setting .name
return indices_dict[request.param].copy()
"num_int8": tm.makeNumericIndex(100, dtype="int8"), "num_uint64": tm.makeNumericIndex(100, dtype="uint64"), "num_uint32": tm.makeNumericIndex(100, dtype="uint32"), "num_uint16": tm.makeNumericIndex(100, dtype="uint16"), "num_uint8": tm.makeNumericIndex(100, dtype="uint8"), "num_float64": tm.makeNumericIndex(100, dtype="float64"), "num_float32": tm.makeNumericIndex(100, dtype="float32"), "bool": tm.makeBoolIndex(10), "categorical": tm.makeCategoricalIndex(100), "interval": tm.makeIntervalIndex(100), "empty": Index([]), "tuples": MultiIndex.from_tuples(zip(["foo", "bar", "baz"], [1, 2, 3])), "mi-with-dt64tz-level": _create_mi_with_dt64tz_level(), "multi": _create_multiindex(), "repeats": Index([0, 0, 1, 1, 2, 2]), "nullable_int":
