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| from pandas import (
| Index,
| Series,
| date_range,
| )
| import pandas._testing as tm
|
|
| class TestGetNumericData:
| def test_get_numeric_data_preserve_dtype(self, using_copy_on_write):
| # get the numeric data
| obj = Series([1, 2, 3])
| result = obj._get_numeric_data()
| tm.assert_series_equal(result, obj)
|
| # returned object is a shallow copy
| result.iloc[0] = 0
| if using_copy_on_write:
| assert obj.iloc[0] == 1
| else:
| assert obj.iloc[0] == 0
|
| obj = Series([1, "2", 3.0])
| result = obj._get_numeric_data()
| expected = Series([], dtype=object, index=Index([], dtype=object))
| tm.assert_series_equal(result, expected)
|
| obj = Series([True, False, True])
| result = obj._get_numeric_data()
| tm.assert_series_equal(result, obj)
|
| obj = Series(date_range("20130101", periods=3))
| result = obj._get_numeric_data()
| expected = Series([], dtype="M8[ns]", index=Index([], dtype=object))
| tm.assert_series_equal(result, expected)
|
|
