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- from datetime import (
- datetime,
- timezone,
- )
- import numpy as np
- import pytest
- from pandas._libs.tslibs.dtypes import NpyDatetimeUnit
- from pandas._libs.tslibs.strptime import array_strptime
- from pandas import (
- NaT,
- Timestamp,
- )
- import pandas._testing as tm
- creso_infer = NpyDatetimeUnit.NPY_FR_GENERIC.value
- class TestArrayStrptimeResolutionInference:
- def test_array_strptime_resolution_all_nat(self):
- arr = np.array([NaT, np.nan], dtype=object)
- fmt = "%Y-%m-%d %H:%M:%S"
- res, _ = array_strptime(arr, fmt=fmt, utc=False, creso=creso_infer)
- assert res.dtype == "M8[s]"
- res, _ = array_strptime(arr, fmt=fmt, utc=True, creso=creso_infer)
- assert res.dtype == "M8[s]"
- @pytest.mark.parametrize("tz", [None, timezone.utc])
- def test_array_strptime_resolution_inference_homogeneous_strings(self, tz):
- dt = datetime(2016, 1, 2, 3, 4, 5, 678900, tzinfo=tz)
- fmt = "%Y-%m-%d %H:%M:%S"
- dtstr = dt.strftime(fmt)
- arr = np.array([dtstr] * 3, dtype=object)
- expected = np.array([dt.replace(tzinfo=None)] * 3, dtype="M8[s]")
- res, _ = array_strptime(arr, fmt=fmt, utc=False, creso=creso_infer)
- tm.assert_numpy_array_equal(res, expected)
- fmt = "%Y-%m-%d %H:%M:%S.%f"
- dtstr = dt.strftime(fmt)
- arr = np.array([dtstr] * 3, dtype=object)
- expected = np.array([dt.replace(tzinfo=None)] * 3, dtype="M8[us]")
- res, _ = array_strptime(arr, fmt=fmt, utc=False, creso=creso_infer)
- tm.assert_numpy_array_equal(res, expected)
- fmt = "ISO8601"
- res, _ = array_strptime(arr, fmt=fmt, utc=False, creso=creso_infer)
- tm.assert_numpy_array_equal(res, expected)
- @pytest.mark.parametrize("tz", [None, timezone.utc])
- def test_array_strptime_resolution_mixed(self, tz):
- dt = datetime(2016, 1, 2, 3, 4, 5, 678900, tzinfo=tz)
- ts = Timestamp(dt).as_unit("ns")
- arr = np.array([dt, ts], dtype=object)
- expected = np.array(
- [Timestamp(dt).as_unit("ns").asm8, ts.asm8],
- dtype="M8[ns]",
- )
- fmt = "%Y-%m-%d %H:%M:%S"
- res, _ = array_strptime(arr, fmt=fmt, utc=False, creso=creso_infer)
- tm.assert_numpy_array_equal(res, expected)
- fmt = "ISO8601"
- res, _ = array_strptime(arr, fmt=fmt, utc=False, creso=creso_infer)
- tm.assert_numpy_array_equal(res, expected)
- def test_array_strptime_resolution_todaynow(self):
- # specifically case where today/now is the *first* item
- vals = np.array(["today", np.datetime64("2017-01-01", "us")], dtype=object)
- now = Timestamp("now").asm8
- res, _ = array_strptime(vals, fmt="%Y-%m-%d", utc=False, creso=creso_infer)
- res2, _ = array_strptime(
- vals[::-1], fmt="%Y-%m-%d", utc=False, creso=creso_infer
- )
- # 1s is an arbitrary cutoff for call overhead; in local testing the
- # actual difference is about 250us
- tolerance = np.timedelta64(1, "s")
- assert res.dtype == "M8[us]"
- assert abs(res[0] - now) < tolerance
- assert res[1] == vals[1]
- assert res2.dtype == "M8[us]"
- assert abs(res2[1] - now) < tolerance * 2
- assert res2[0] == vals[1]
- def test_array_strptime_str_outside_nano_range(self):
- vals = np.array(["2401-09-15"], dtype=object)
- expected = np.array(["2401-09-15"], dtype="M8[s]")
- fmt = "ISO8601"
- res, _ = array_strptime(vals, fmt=fmt, creso=creso_infer)
- tm.assert_numpy_array_equal(res, expected)
- # non-iso -> different path
- vals2 = np.array(["Sep 15, 2401"], dtype=object)
- expected2 = np.array(["2401-09-15"], dtype="M8[s]")
- fmt2 = "%b %d, %Y"
- res2, _ = array_strptime(vals2, fmt=fmt2, creso=creso_infer)
- tm.assert_numpy_array_equal(res2, expected2)
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