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- import numpy as np
- import pytest
- from pandas._libs.tslibs import fields
- import pandas._testing as tm
- @pytest.fixture
- def dtindex():
- dtindex = np.arange(5, dtype=np.int64) * 10**9 * 3600 * 24 * 32
- dtindex.flags.writeable = False
- return dtindex
- def test_get_date_name_field_readonly(dtindex):
- # https://github.com/vaexio/vaex/issues/357
- # fields functions shouldn't raise when we pass read-only data
- result = fields.get_date_name_field(dtindex, "month_name")
- expected = np.array(["January", "February", "March", "April", "May"], dtype=object)
- tm.assert_numpy_array_equal(result, expected)
- def test_get_date_field_readonly(dtindex):
- result = fields.get_date_field(dtindex, "Y")
- expected = np.array([1970, 1970, 1970, 1970, 1970], dtype=np.int32)
- tm.assert_numpy_array_equal(result, expected)
- def test_get_start_end_field_readonly(dtindex):
- result = fields.get_start_end_field(dtindex, "is_month_start", None)
- expected = np.array([True, False, False, False, False], dtype=np.bool_)
- tm.assert_numpy_array_equal(result, expected)
- def test_get_timedelta_field_readonly(dtindex):
- # treat dtindex as timedeltas for this next one
- result = fields.get_timedelta_field(dtindex, "seconds")
- expected = np.array([0] * 5, dtype=np.int32)
- tm.assert_numpy_array_equal(result, expected)
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