134 lines
4.3 KiB
Python
134 lines
4.3 KiB
Python
from operator import methodcaller
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import numpy as np
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import pytest
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import pandas as pd
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from pandas import MultiIndex, Series, date_range
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import pandas._testing as tm
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from .test_generic import Generic
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class TestSeries(Generic):
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_typ = Series
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_comparator = lambda self, x, y: tm.assert_series_equal(x, y)
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@pytest.mark.parametrize("func", ["rename_axis", "_set_axis_name"])
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def test_set_axis_name_mi(self, func):
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s = Series(
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[11, 21, 31],
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index=MultiIndex.from_tuples(
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[("A", x) for x in ["a", "B", "c"]], names=["l1", "l2"]
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),
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)
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result = methodcaller(func, ["L1", "L2"])(s)
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assert s.index.name is None
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assert s.index.names == ["l1", "l2"]
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assert result.index.name is None
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assert result.index.names, ["L1", "L2"]
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def test_set_axis_name_raises(self):
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s = Series([1])
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msg = "No axis named 1 for object type Series"
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with pytest.raises(ValueError, match=msg):
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s._set_axis_name(name="a", axis=1)
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def test_get_bool_data_preserve_dtype(self):
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o = Series([True, False, True])
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result = o._get_bool_data()
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self._compare(result, o)
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def test_nonzero_single_element(self):
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# allow single item via bool method
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s = Series([True])
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assert s.bool()
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s = Series([False])
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assert not s.bool()
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msg = "The truth value of a Series is ambiguous"
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# single item nan to raise
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for s in [Series([np.nan]), Series([pd.NaT]), Series([True]), Series([False])]:
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with pytest.raises(ValueError, match=msg):
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bool(s)
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msg = "bool cannot act on a non-boolean single element Series"
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for s in [Series([np.nan]), Series([pd.NaT])]:
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with pytest.raises(ValueError, match=msg):
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s.bool()
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# multiple bool are still an error
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msg = "The truth value of a Series is ambiguous"
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for s in [Series([True, True]), Series([False, False])]:
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with pytest.raises(ValueError, match=msg):
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bool(s)
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with pytest.raises(ValueError, match=msg):
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s.bool()
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# single non-bool are an error
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for s in [Series([1]), Series([0]), Series(["a"]), Series([0.0])]:
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msg = "The truth value of a Series is ambiguous"
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with pytest.raises(ValueError, match=msg):
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bool(s)
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msg = "bool cannot act on a non-boolean single element Series"
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with pytest.raises(ValueError, match=msg):
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s.bool()
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def test_metadata_propagation_indiv_resample(self):
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# resample
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ts = Series(
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np.random.rand(1000),
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index=date_range("20130101", periods=1000, freq="s"),
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name="foo",
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)
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result = ts.resample("1T").mean()
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self.check_metadata(ts, result)
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result = ts.resample("1T").min()
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self.check_metadata(ts, result)
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result = ts.resample("1T").apply(lambda x: x.sum())
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self.check_metadata(ts, result)
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def test_metadata_propagation_indiv(self):
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# check that the metadata matches up on the resulting ops
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o = Series(range(3), range(3))
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o.name = "foo"
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o2 = Series(range(3), range(3))
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o2.name = "bar"
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result = o.T
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self.check_metadata(o, result)
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_metadata = Series._metadata
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_finalize = Series.__finalize__
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Series._metadata = ["name", "filename"]
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o.filename = "foo"
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o2.filename = "bar"
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def finalize(self, other, method=None, **kwargs):
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for name in self._metadata:
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if method == "concat" and name == "filename":
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value = "+".join(
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[getattr(o, name) for o in other.objs if getattr(o, name, None)]
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)
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object.__setattr__(self, name, value)
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else:
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object.__setattr__(self, name, getattr(other, name, None))
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return self
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Series.__finalize__ = finalize
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result = pd.concat([o, o2])
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assert result.filename == "foo+bar"
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assert result.name is None
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# reset
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Series._metadata = _metadata
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Series.__finalize__ = _finalize # FIXME: use monkeypatch
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