| import numpy as np |
| import pytest |
| import pytz |
|
|
| from pandas._libs.tslibs import ( |
| Resolution, |
| get_resolution, |
| ) |
| from pandas._libs.tslibs.dtypes import NpyDatetimeUnit |
|
|
| import pandas._testing as tm |
|
|
|
|
| def test_get_resolution_nano(): |
| |
| arr = np.array([1], dtype=np.int64) |
| res = get_resolution(arr) |
| assert res == Resolution.RESO_NS |
|
|
|
|
| def test_get_resolution_non_nano_data(): |
| arr = np.array([1], dtype=np.int64) |
| res = get_resolution(arr, None, NpyDatetimeUnit.NPY_FR_us.value) |
| assert res == Resolution.RESO_US |
|
|
| res = get_resolution(arr, pytz.UTC, NpyDatetimeUnit.NPY_FR_us.value) |
| assert res == Resolution.RESO_US |
|
|
|
|
| @pytest.mark.parametrize( |
| "freqstr,expected", |
| [ |
| ("Y", "year"), |
| ("Q", "quarter"), |
| ("M", "month"), |
| ("D", "day"), |
| ("h", "hour"), |
| ("min", "minute"), |
| ("s", "second"), |
| ("ms", "millisecond"), |
| ("us", "microsecond"), |
| ("ns", "nanosecond"), |
| ], |
| ) |
| def test_get_attrname_from_abbrev(freqstr, expected): |
| reso = Resolution.get_reso_from_freqstr(freqstr) |
| assert reso.attr_abbrev == freqstr |
| assert reso.attrname == expected |
|
|
|
|
| @pytest.mark.parametrize("freq", ["A", "H", "T", "S", "L", "U", "N"]) |
| def test_units_A_H_T_S_L_U_N_deprecated_from_attrname_to_abbrevs(freq): |
| |
| msg = f"'{freq}' is deprecated and will be removed in a future version." |
|
|
| with tm.assert_produces_warning(FutureWarning, match=msg): |
| Resolution.get_reso_from_freqstr(freq) |
|
|