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