Better test case for normalizing from no time index to time index #1113
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A couple things I'm unsure about:
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## main #1113 +/- ##
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Coverage 98.36% 98.36%
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tamargrey
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| df = pd.DataFrame({ | ||
| "id": [0, 1, 2, 3], | ||
| "A": [5, 4, 2, 3], | ||
| 'time': [datetime(2020, 6, 3), (datetime(2020, 3, 12)), datetime(2020, 5, 1), datetime(2020, 4, 22)] | ||
| }) | ||
| es = ft.EntitySet("es") | ||
| es = es.entity_from_dataframe( | ||
| entity_id="data", | ||
| dataframe=df, | ||
| index="id") |
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the old version of this test is testing both a dask entityset and a pandas one. We could make a parametrized entityset fixture similar to es with this portion of the code, and keep the rest of the code to test the entityset
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Added in the fixtures so we now have params=['dd_normalize_es', 'pd_normalize_es'] for this test-- let me know if it looks ok
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Updated test case
Creates an entity set with one entity that does not have a
time_indexbut does have a column of datetimes. That column,timeis used viamake_time_indexas the time index of an entity built from normalization.