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5ebcd2a5f6
Co-authored-by: Michael S. Molina <70410625+michael-s-molina@users.noreply.github.com>
32 lines
1.2 KiB
Python
32 lines
1.2 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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from datetime import datetime, timezone
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import pandas as pd
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from superset.utils.excel import df_to_excel
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def test_timezone_conversion() -> None:
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"""
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Test that columns with timezones are converted to a string.
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"""
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df = pd.DataFrame({"dt": [datetime(2023, 1, 1, 0, 0, tzinfo=timezone.utc)]})
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contents = df_to_excel(df)
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assert pd.read_excel(contents)["dt"][0] == "2023-01-01 00:00:00+00:00"
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