def test_from_pandas_array(self):
arr = pd.array(np.arange(5, dtype=np.int64)) * 3600 * 10**9
result = DatetimeArray._from_sequence(arr, freq="infer")
expected = pd.date_range("1970-01-01", periods=5, freq="H")._data
tm.assert_datetime_array_equal(result, expected)
def test_from_pandas_array(self):
arr = pd.array(np.arange(5, dtype=np.int64)) * 3600 * 10**9
result = DatetimeArray._from_sequence(arr, freq='infer')
expected = pd.date_range('1970-01-01', periods=5, freq='H')._data
tm.assert_datetime_array_equal(result, expected)
def test_concat_same_type_different_freq(self):
# we *can* concatentate DTI with different freqs.
a = DatetimeArray(pd.date_range('2000', periods=2, freq='D',
tz='US/Central'))
b = DatetimeArray(pd.date_range('2000', periods=2, freq='H',
tz='US/Central'))
result = DatetimeArray._concat_same_type([a, b])
expected = DatetimeArray(pd.to_datetime([
'2000-01-01 00:00:00', '2000-01-02 00:00:00',
'2000-01-01 00:00:00', '2000-01-01 01:00:00',
]).tz_localize("US/Central"))
tm.assert_datetime_array_equal(result, expected)
def test_concat_same_type_different_freq(self):
# we *can* concatentate DTI with different freqs.
a = DatetimeArray(pd.date_range('2000', periods=2, freq='D',
tz='US/Central'))
b = DatetimeArray(pd.date_range('2000', periods=2, freq='H',
tz='US/Central'))
result = DatetimeArray._concat_same_type([a, b])
expected = DatetimeArray(pd.to_datetime([
'2000-01-01 00:00:00', '2000-01-02 00:00:00',
'2000-01-01 00:00:00', '2000-01-01 01:00:00',
]).tz_localize("US/Central"))
tm.assert_datetime_array_equal(result, expected)
