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import numpy as np
import pytest
import pandas.util._test_decorators as td
from pandas._libs import iNaT
from pandas.core.dtypes.dtypes import DatetimeTZDtype
import pandas as pd
import pandas._testing as tm
from pandas.core.arrays import DatetimeArray
class TestDatetimeArrayConstructor:
def test_from_sequence_invalid_type(self):
mi = pd.MultiIndex.from_product([np.arange(5), np.arange(5)])
with pytest.raises(TypeError, match="Cannot create a DatetimeArray"):
DatetimeArray._from_sequence(mi, dtype="M8[ns]")
def test_only_1dim_accepted(self):
arr = np.array([0, 1, 2, 3], dtype="M8[h]").astype("M8[ns]")
depr_msg = "DatetimeArray.__init__ is deprecated"
with tm.assert_produces_warning(FutureWarning, match=depr_msg):
with pytest.raises(ValueError, match="Only 1-dimensional"):
# 3-dim, we allow 2D to sneak in for ops purposes GH#29853
DatetimeArray(arr.reshape(2, 2, 1))
with tm.assert_produces_warning(FutureWarning, match=depr_msg):
with pytest.raises(ValueError, match="Only 1-dimensional"):
# 0-dim
DatetimeArray(arr[[0]].squeeze())
def test_freq_validation(self):
# GH#24623 check that invalid instances cannot be created with the
# public constructor
arr = np.arange(5, dtype=np.int64) * 3600 * 10**9
msg = (
"Inferred frequency h from passed values does not "
"conform to passed frequency W-SUN"
)
depr_msg = "DatetimeArray.__init__ is deprecated"
with tm.assert_produces_warning(FutureWarning, match=depr_msg):
with pytest.raises(ValueError, match=msg):
DatetimeArray(arr, freq="W")
@pytest.mark.parametrize(
"meth",
[
DatetimeArray._from_sequence,
pd.to_datetime,
pd.DatetimeIndex,
],
)
def test_mixing_naive_tzaware_raises(self, meth):
# GH#24569
arr = np.array([pd.Timestamp("2000"), pd.Timestamp("2000", tz="CET")])
msg = (
"Cannot mix tz-aware with tz-naive values|"
"Tz-aware datetime.datetime cannot be converted "
"to datetime64 unless utc=True"
)
for obj in [arr, arr[::-1]]:
# check that we raise regardless of whether naive is found
# before aware or vice-versa
with pytest.raises(ValueError, match=msg):
meth(obj)
def test_from_pandas_array(self):
arr = pd.array(np.arange(5, dtype=np.int64)) * 3600 * 10**9
result = DatetimeArray._from_sequence(arr, dtype="M8[ns]")._with_freq("infer")
expected = pd.date_range("1970-01-01", periods=5, freq="h")._data
tm.assert_datetime_array_equal(result, expected)
def test_mismatched_timezone_raises(self):
depr_msg = "DatetimeArray.__init__ is deprecated"
with tm.assert_produces_warning(FutureWarning, match=depr_msg):
arr = DatetimeArray(
np.array(["2000-01-01T06:00:00"], dtype="M8[ns]"),
dtype=DatetimeTZDtype(tz="US/Central"),
)
dtype = DatetimeTZDtype(tz="US/Eastern")
msg = r"dtype=datetime64\[ns.*\] does not match data dtype datetime64\[ns.*\]"
with tm.assert_produces_warning(FutureWarning, match=depr_msg):
with pytest.raises(TypeError, match=msg):
DatetimeArray(arr, dtype=dtype)
# also with mismatched tzawareness
with tm.assert_produces_warning(FutureWarning, match=depr_msg):
with pytest.raises(TypeError, match=msg):
DatetimeArray(arr, dtype=np.dtype("M8[ns]"))
with tm.assert_produces_warning(FutureWarning, match=depr_msg):
with pytest.raises(TypeError, match=msg):
DatetimeArray(arr.tz_localize(None), dtype=arr.dtype)
def test_non_array_raises(self):
depr_msg = "DatetimeArray.__init__ is deprecated"
with tm.assert_produces_warning(FutureWarning, match=depr_msg):
with pytest.raises(ValueError, match="list"):
DatetimeArray([1, 2, 3])
def test_bool_dtype_raises(self):
arr = np.array([1, 2, 3], dtype="bool")
depr_msg = "DatetimeArray.__init__ is deprecated"
msg = "Unexpected value for 'dtype': 'bool'. Must be"
with tm.assert_produces_warning(FutureWarning, match=depr_msg):
with pytest.raises(ValueError, match=msg):
DatetimeArray(arr)
msg = r"dtype bool cannot be converted to datetime64\[ns\]"
with pytest.raises(TypeError, match=msg):
DatetimeArray._from_sequence(arr, dtype="M8[ns]")
with pytest.raises(TypeError, match=msg):
pd.DatetimeIndex(arr)
with pytest.raises(TypeError, match=msg):
pd.to_datetime(arr)
def test_incorrect_dtype_raises(self):
depr_msg = "DatetimeArray.__init__ is deprecated"
with tm.assert_produces_warning(FutureWarning, match=depr_msg):
with pytest.raises(ValueError, match="Unexpected value for 'dtype'."):
DatetimeArray(np.array([1, 2, 3], dtype="i8"), dtype="category")
with tm.assert_produces_warning(FutureWarning, match=depr_msg):
with pytest.raises(ValueError, match="Unexpected value for 'dtype'."):
DatetimeArray(np.array([1, 2, 3], dtype="i8"), dtype="m8[s]")
with tm.assert_produces_warning(FutureWarning, match=depr_msg):
with pytest.raises(ValueError, match="Unexpected value for 'dtype'."):
DatetimeArray(np.array([1, 2, 3], dtype="i8"), dtype="M8[D]")
def test_mismatched_values_dtype_units(self):
arr = np.array([1, 2, 3], dtype="M8[s]")
dtype = np.dtype("M8[ns]")
msg = "Values resolution does not match dtype."
depr_msg = "DatetimeArray.__init__ is deprecated"
with tm.assert_produces_warning(FutureWarning, match=depr_msg):
with pytest.raises(ValueError, match=msg):
DatetimeArray(arr, dtype=dtype)
dtype2 = DatetimeTZDtype(tz="UTC", unit="ns")
with tm.assert_produces_warning(FutureWarning, match=depr_msg):
with pytest.raises(ValueError, match=msg):
DatetimeArray(arr, dtype=dtype2)
def test_freq_infer_raises(self):
depr_msg = "DatetimeArray.__init__ is deprecated"
with tm.assert_produces_warning(FutureWarning, match=depr_msg):
with pytest.raises(ValueError, match="Frequency inference"):
DatetimeArray(np.array([1, 2, 3], dtype="i8"), freq="infer")
def test_copy(self):
data = np.array([1, 2, 3], dtype="M8[ns]")
arr = DatetimeArray._from_sequence(data, copy=False)
assert arr._ndarray is data
arr = DatetimeArray._from_sequence(data, copy=True)
assert arr._ndarray is not data
@pytest.mark.parametrize("unit", ["s", "ms", "us", "ns"])
def test_numpy_datetime_unit(self, unit):
data = np.array([1, 2, 3], dtype=f"M8[{unit}]")
arr = DatetimeArray._from_sequence(data)
assert arr.unit == unit
assert arr[0].unit == unit
class TestSequenceToDT64NS:
def test_tz_dtype_mismatch_raises(self):
arr = DatetimeArray._from_sequence(
["2000"], dtype=DatetimeTZDtype(tz="US/Central")
)
with pytest.raises(TypeError, match="data is already tz-aware"):
DatetimeArray._from_sequence(arr, dtype=DatetimeTZDtype(tz="UTC"))
def test_tz_dtype_matches(self):
dtype = DatetimeTZDtype(tz="US/Central")
arr = DatetimeArray._from_sequence(["2000"], dtype=dtype)
result = DatetimeArray._from_sequence(arr, dtype=dtype)
tm.assert_equal(arr, result)
@pytest.mark.parametrize("order", ["F", "C"])
def test_2d(self, order):
dti = pd.date_range("2016-01-01", periods=6, tz="US/Pacific")
arr = np.array(dti, dtype=object).reshape(3, 2)
if order == "F":
arr = arr.T
res = DatetimeArray._from_sequence(arr, dtype=dti.dtype)
expected = DatetimeArray._from_sequence(arr.ravel(), dtype=dti.dtype).reshape(
arr.shape
)
tm.assert_datetime_array_equal(res, expected)
# ----------------------------------------------------------------------------
# Arrow interaction
EXTREME_VALUES = [0, 123456789, None, iNaT, 2**63 - 1, -(2**63) + 1]
FINE_TO_COARSE_SAFE = [123_000_000_000, None, -123_000_000_000]
COARSE_TO_FINE_SAFE = [123, None, -123]
@pytest.mark.parametrize(
("pa_unit", "pd_unit", "pa_tz", "pd_tz", "data"),
[
("s", "s", "UTC", "UTC", EXTREME_VALUES),
("ms", "ms", "UTC", "Europe/Berlin", EXTREME_VALUES),
("us", "us", "US/Eastern", "UTC", EXTREME_VALUES),
("ns", "ns", "US/Central", "Asia/Kolkata", EXTREME_VALUES),
("ns", "s", "UTC", "UTC", FINE_TO_COARSE_SAFE),
("us", "ms", "UTC", "Europe/Berlin", FINE_TO_COARSE_SAFE),
("ms", "us", "US/Eastern", "UTC", COARSE_TO_FINE_SAFE),
("s", "ns", "US/Central", "Asia/Kolkata", COARSE_TO_FINE_SAFE),
],
)
def test_from_arrow_with_different_units_and_timezones_with(
pa_unit, pd_unit, pa_tz, pd_tz, data
):
pa = td.versioned_importorskip("pyarrow")
pa_type = pa.timestamp(pa_unit, tz=pa_tz)
arr = pa.array(data, type=pa_type)
dtype = DatetimeTZDtype(unit=pd_unit, tz=pd_tz)
result = dtype.__from_arrow__(arr)
expected = DatetimeArray._from_sequence(data, dtype=f"M8[{pa_unit}, UTC]").astype(
dtype, copy=False
)
tm.assert_extension_array_equal(result, expected)
result = dtype.__from_arrow__(pa.chunked_array([arr]))
tm.assert_extension_array_equal(result, expected)
@pytest.mark.parametrize(
("unit", "tz"),
[
("s", "UTC"),
("ms", "Europe/Berlin"),
("us", "US/Eastern"),
("ns", "Asia/Kolkata"),
("ns", "UTC"),
],
)
def test_from_arrow_from_empty(unit, tz):
pa = td.versioned_importorskip("pyarrow")
data = []
arr = pa.array(data)
dtype = DatetimeTZDtype(unit=unit, tz=tz)
result = dtype.__from_arrow__(arr)
expected = DatetimeArray._from_sequence(np.array(data, dtype=f"datetime64[{unit}]"))
expected = expected.tz_localize(tz=tz)
tm.assert_extension_array_equal(result, expected)
result = dtype.__from_arrow__(pa.chunked_array([arr]))
tm.assert_extension_array_equal(result, expected)
def test_from_arrow_from_integers():
pa = td.versioned_importorskip("pyarrow")
data = [0, 123456789, None, 2**63 - 1, iNaT, -123456789]
arr = pa.array(data)
dtype = DatetimeTZDtype(unit="ns", tz="UTC")
result = dtype.__from_arrow__(arr)
expected = DatetimeArray._from_sequence(np.array(data, dtype="datetime64[ns]"))
expected = expected.tz_localize("UTC")
tm.assert_extension_array_equal(result, expected)
result = dtype.__from_arrow__(pa.chunked_array([arr]))
tm.assert_extension_array_equal(result, expected)
|
