Added __contains__ and some tests for it
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@ -387,6 +387,10 @@ class TimeSeriesCore(UserDict):
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self.n += 1
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return key, self.data[key]
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def __contains__(self, key: object) -> bool:
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key = _parse_date(key)
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return super().__contains__(key)
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def head(self, n: int = 6):
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"""Returns the first n items of the TimeSeries object"""
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@ -3,7 +3,6 @@ from typing import Mapping
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from fincal.core import AllFrequencies, Frequency, Series, TimeSeriesCore
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from fincal.fincal import create_date_series
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from numpy import isin
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class TestFrequency:
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@ -68,3 +67,15 @@ class TestTimeSeriesCore:
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assert ts[ts.dates == '2021-02-01'].iloc[0][1] == 230
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assert ts.iloc[2][0] == datetime.datetime(2021, 3, 1)
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assert len(ts.iloc[:2]) == 2
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def test_contains(self):
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ts = TimeSeriesCore(self.data, frequency='M')
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assert datetime.datetime(2021, 1, 1) in ts
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assert '2021-01-01' in ts
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assert '2021-01-14' not in ts
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def test_items(self):
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ts = TimeSeriesCore(self.data, frequency='M')
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for i, j in ts.items():
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assert j == self.data[0][1]
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break
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