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51 lines
2.1 KiB
Python
51 lines
2.1 KiB
Python
# Licensed to the Apache Software Foundation (ASF) under one
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# or more contributor license agreements. See the NOTICE file
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# distributed with this work for additional information
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# regarding copyright ownership. The ASF licenses this file
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# to you under the Apache License, Version 2.0 (the
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# "License"); you may not use this file except in compliance
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# with the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing,
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# software distributed under the License is distributed on an
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# KIND, either express or implied. See the License for the
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# specific language governing permissions and limitations
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# under the License.
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import datetime
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import pandas as pd
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from superset.common.utils import dataframe_utils
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def test_is_datetime_series():
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assert not dataframe_utils.is_datetime_series(None)
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assert not dataframe_utils.is_datetime_series(pd.DataFrame({"foo": [1]}))
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assert not dataframe_utils.is_datetime_series(pd.Series([1, 2, 3]))
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assert not dataframe_utils.is_datetime_series(pd.Series(["1", "2", "3"]))
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assert not dataframe_utils.is_datetime_series(pd.Series())
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assert not dataframe_utils.is_datetime_series(pd.Series([None, None]))
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assert dataframe_utils.is_datetime_series(
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pd.Series([datetime.date(2018, 1, 1), datetime.date(2018, 1, 2), None])
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)
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assert dataframe_utils.is_datetime_series(
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pd.Series([datetime.date(2018, 1, 1), datetime.date(2018, 1, 2)])
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)
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assert dataframe_utils.is_datetime_series(
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pd.Series([datetime.datetime(2018, 1, 1), datetime.datetime(2018, 1, 2), None])
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)
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assert dataframe_utils.is_datetime_series(
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pd.Series([datetime.datetime(2018, 1, 1), datetime.datetime(2018, 1, 2)])
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)
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assert dataframe_utils.is_datetime_series(
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pd.date_range(datetime.date(2018, 1, 1), datetime.date(2018, 2, 1)).to_series()
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)
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assert dataframe_utils.is_datetime_series(
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pd.date_range(
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datetime.datetime(2018, 1, 1), datetime.datetime(2018, 2, 1)
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).to_series()
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)
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