peacock-data-public-datasets-idc-cronscript
/
venv
/lib
/python3.10
/site-packages
/pandas
/tests
/tslibs
/test_fields.py
import numpy as np | |
import pytest | |
from pandas._libs.tslibs import fields | |
import pandas._testing as tm | |
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) | |