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17 | 17 | is_dtype_equal, is_datetime64_ns_dtype,
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18 | 18 | is_datetime64_dtype, is_interval_dtype,
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19 | 19 | is_datetime64_any_dtype, is_string_dtype,
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20 |
| - _coerce_to_dtype, |
21 | 20 | is_bool_dtype,
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22 | 21 | )
|
23 | 22 | from pandas.core.sparse.api import SparseDtype
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@@ -173,12 +172,6 @@ def test_subclass(self):
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173 | 172 | assert issubclass(type(a), type(a))
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174 | 173 | assert issubclass(type(a), type(b))
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175 | 174 |
|
176 |
| - def test_coerce_to_dtype(self): |
177 |
| - assert (_coerce_to_dtype('datetime64[ns, US/Eastern]') == |
178 |
| - DatetimeTZDtype('ns', 'US/Eastern')) |
179 |
| - assert (_coerce_to_dtype('datetime64[ns, Asia/Tokyo]') == |
180 |
| - DatetimeTZDtype('ns', 'Asia/Tokyo')) |
181 |
| - |
182 | 175 | def test_compat(self):
|
183 | 176 | assert is_datetime64tz_dtype(self.dtype)
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184 | 177 | assert is_datetime64tz_dtype('datetime64[ns, US/Eastern]')
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@@ -319,10 +312,6 @@ def test_identity(self):
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319 | 312 | assert PeriodDtype('period[1S1U]') == PeriodDtype('period[1000001U]')
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320 | 313 | assert PeriodDtype('period[1S1U]') is PeriodDtype('period[1000001U]')
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321 | 314 |
|
322 |
| - def test_coerce_to_dtype(self): |
323 |
| - assert _coerce_to_dtype('period[D]') == PeriodDtype('period[D]') |
324 |
| - assert _coerce_to_dtype('period[3M]') == PeriodDtype('period[3M]') |
325 |
| - |
326 | 315 | def test_compat(self):
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327 | 316 | assert not is_datetime64_ns_dtype(self.dtype)
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328 | 317 | assert not is_datetime64_ns_dtype('period[D]')
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@@ -517,10 +506,6 @@ def test_is_dtype(self):
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517 | 506 | assert not IntervalDtype.is_dtype(np.int64)
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518 | 507 | assert not IntervalDtype.is_dtype(np.float64)
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519 | 508 |
|
520 |
| - def test_coerce_to_dtype(self): |
521 |
| - assert (_coerce_to_dtype('interval[int64]') == |
522 |
| - IntervalDtype('interval[int64]')) |
523 |
| - |
524 | 509 | def test_equality(self):
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525 | 510 | assert is_dtype_equal(self.dtype, 'interval[int64]')
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526 | 511 | assert is_dtype_equal(self.dtype, IntervalDtype('int64'))
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