import numpy as np
|
import pytest
|
|
from pandas.core.arrays import TimedeltaArray
|
|
|
class TestTimedeltaArrayConstructor:
|
def test_only_1dim_accepted(self):
|
# GH#25282
|
arr = np.array([0, 1, 2, 3], dtype="m8[h]").astype("m8[ns]")
|
|
with pytest.raises(ValueError, match="Only 1-dimensional"):
|
# 3-dim, we allow 2D to sneak in for ops purposes GH#29853
|
TimedeltaArray(arr.reshape(2, 2, 1))
|
|
with pytest.raises(ValueError, match="Only 1-dimensional"):
|
# 0-dim
|
TimedeltaArray(arr[[0]].squeeze())
|
|
def test_freq_validation(self):
|
# ensure that the public constructor cannot create an invalid instance
|
arr = np.array([0, 0, 1], dtype=np.int64) * 3600 * 10**9
|
|
msg = (
|
"Inferred frequency None from passed values does not "
|
"conform to passed frequency D"
|
)
|
with pytest.raises(ValueError, match=msg):
|
TimedeltaArray(arr.view("timedelta64[ns]"), freq="D")
|
|
def test_non_array_raises(self):
|
with pytest.raises(ValueError, match="list"):
|
TimedeltaArray([1, 2, 3])
|
|
def test_other_type_raises(self):
|
with pytest.raises(ValueError, match="dtype bool cannot be converted"):
|
TimedeltaArray(np.array([1, 2, 3], dtype="bool"))
|
|
def test_incorrect_dtype_raises(self):
|
# TODO: why TypeError for 'category' but ValueError for i8?
|
with pytest.raises(
|
ValueError, match=r"category cannot be converted to timedelta64\[ns\]"
|
):
|
TimedeltaArray(np.array([1, 2, 3], dtype="i8"), dtype="category")
|
|
with pytest.raises(
|
ValueError, match=r"dtype int64 cannot be converted to timedelta64\[ns\]"
|
):
|
TimedeltaArray(np.array([1, 2, 3], dtype="i8"), dtype=np.dtype("int64"))
|
|
def test_copy(self):
|
data = np.array([1, 2, 3], dtype="m8[ns]")
|
arr = TimedeltaArray(data, copy=False)
|
assert arr._ndarray is data
|
|
arr = TimedeltaArray(data, copy=True)
|
assert arr._ndarray is not data
|
assert arr._ndarray.base is not data
|
|
def test_from_sequence_dtype(self):
|
msg = "dtype .*object.* cannot be converted to timedelta64"
|
with pytest.raises(ValueError, match=msg):
|
TimedeltaArray._from_sequence([], dtype=object)
|
