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https://github.com/aykhans/AzSuicideDataVisualization.git
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75 lines
2.1 KiB
Python
75 lines
2.1 KiB
Python
import numpy as np
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import pytest
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from pandas import (
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Series,
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Timestamp,
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)
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import pandas._testing as tm
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class TestCopy:
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@pytest.mark.parametrize("deep", [None, False, True])
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def test_copy(self, deep):
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ser = Series(np.arange(10), dtype="float64")
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# default deep is True
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if deep is None:
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ser2 = ser.copy()
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else:
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ser2 = ser.copy(deep=deep)
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ser2[::2] = np.NaN
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if deep is None or deep is True:
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# Did not modify original Series
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assert np.isnan(ser2[0])
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assert not np.isnan(ser[0])
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else:
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# we DID modify the original Series
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assert np.isnan(ser2[0])
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assert np.isnan(ser[0])
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@pytest.mark.parametrize("deep", [None, False, True])
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def test_copy_tzaware(self, deep):
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# GH#11794
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# copy of tz-aware
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expected = Series([Timestamp("2012/01/01", tz="UTC")])
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expected2 = Series([Timestamp("1999/01/01", tz="UTC")])
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ser = Series([Timestamp("2012/01/01", tz="UTC")])
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if deep is None:
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ser2 = ser.copy()
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else:
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ser2 = ser.copy(deep=deep)
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ser2[0] = Timestamp("1999/01/01", tz="UTC")
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# default deep is True
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if deep is None or deep is True:
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# Did not modify original Series
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tm.assert_series_equal(ser2, expected2)
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tm.assert_series_equal(ser, expected)
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else:
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# we DID modify the original Series
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tm.assert_series_equal(ser2, expected2)
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tm.assert_series_equal(ser, expected2)
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def test_copy_name(self, datetime_series):
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result = datetime_series.copy()
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assert result.name == datetime_series.name
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def test_copy_index_name_checking(self, datetime_series):
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# don't want to be able to modify the index stored elsewhere after
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# making a copy
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datetime_series.index.name = None
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assert datetime_series.index.name is None
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assert datetime_series is datetime_series
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cp = datetime_series.copy()
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cp.index.name = "foo"
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assert datetime_series.index.name is None
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