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BUG: is_dtype_equal(dtype, "string[pyarrow]") raises if pyarrow not installed #44327

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Merged
merged 20 commits into from
Dec 15, 2021
Merged

BUG: is_dtype_equal(dtype, "string[pyarrow]") raises if pyarrow not installed #44327

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542032c
import error resolved
shubham11941140 Nov 5, 2021
76ab6fa
pre-commit
shubham11941140 Nov 5, 2021
c82d836
Update test_misc.py
shubham11941140 Nov 5, 2021
c35e162
Changes done
shubham11941140 Nov 7, 2021
cff657a
Duplicate test removed
shubham11941140 Nov 7, 2021
dce9db6
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shubham11941140 Nov 8, 2021
5abfa2e
raises modified
shubham11941140 Nov 8, 2021
fb0bd2a
changes done
shubham11941140 Nov 23, 2021
f7b8888
decorator fix
shubham11941140 Nov 25, 2021
2de4936
Changed tests
shubham11941140 Nov 26, 2021
66327e7
precommit
shubham11941140 Nov 26, 2021
9566360
StringDtype added
shubham11941140 Nov 26, 2021
0f35541
Try-Except Changed
shubham11941140 Dec 8, 2021
7ea6b15
Changes Done
shubham11941140 Dec 8, 2021
9b0dc6c
Merge branch 'master' into b5
shubham11941140 Dec 14, 2021
b0a75fc
remove np.dtype from isinstance check
jorisvandenbossche Dec 14, 2021
75a4b26
remove np.dtype from isinstance check, catch ImportError instead
jorisvandenbossche Dec 14, 2021
f5bedc6
update whatsnew
jorisvandenbossche Dec 14, 2021
9c68f5c
fix rst syntax in whatsnew
jorisvandenbossche Dec 14, 2021
c550a00
clean-up
jorisvandenbossche Dec 14, 2021
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2 changes: 1 addition & 1 deletion doc/source/whatsnew/v1.4.0.rst
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Expand Up @@ -509,7 +509,7 @@ Conversion

Strings
^^^^^^^
-
- Fixed bug in :bug:`is_dtype_equal` raising if pyarrow not installed (:issue:`44327`)
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this won't render & is not public facing anyhow. remove the note

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I did not understand the part where "is not public facing anyhow.". I will anyhow remove it.

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Do I remove this?

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I think you can keep it, but reword it a bit to not mention is_dtype_equal explicitly. Something like "Fixed a bug in checking if a dtype is the string[pyarrow] dtype incorrectly raising an error when pyarrow is not installed (:issue:...)"

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Done

-

Interval
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5 changes: 4 additions & 1 deletion pandas/core/dtypes/common.py
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Expand Up @@ -599,9 +599,12 @@ def is_dtype_equal(source, target) -> bool:
if not isinstance(source, str):
# GH#38516 ensure we get the same behavior from
# is_dtype_equal(CDT, "category") and CDT == "category"
# GH-44276 ensures behaviour is consistent
# is_dtype_equal (dtype, "string[pyarrow]")
try:
src = get_dtype(source)
if isinstance(src, ExtensionDtype):
if isinstance(src, (ExtensionDtype, np.dtype)):
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is this change still needed?

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It is needed because dtypes such as int64 float64 and other dtypes actually are np.dtype, so if I am not adding this check, the test is failing.

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It is needed because dtypes such as int64 float64 and other dtypes actually are np.dtype, so if I am not adding this check, the test is failing.

It is not needed if we catch ImportError more generally, I think; I pushed some small commits to verify this.


return src == target
except (TypeError, AttributeError):
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I think you can probably catch the ImportError here (so it always returns False if the above raises an ImportError)

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Done

return False
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5 changes: 5 additions & 0 deletions pandas/tests/dtypes/test_dtypes.py
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Expand Up @@ -115,6 +115,11 @@ def test_construction_from_string(self, dtype):
with pytest.raises(TypeError, match=msg):
CategoricalDtype.construct_from_string("foo")

def test_pyarrow_string_import_error(self, dtype):
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Another note: this test is added to TestCategoricalDtype, so categorical specific tests. I think we should move it to a more generic location. For example in tests/dtypes/test_common.py there is a test_dtype_equal that tests the basic functionality of is_dtype_equal. Maybe add the new test there (or in the arrow string dtype specific tests, @jbrockmendel any preference?)

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Request you to inform me where do I exactly put the test, in which file and which function

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You can put it in tests/dtypes/test_common.py, just after the existing test_dtype_equal test.

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Done

# GH-44276
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can you flesh this out a tiny bit e.g. 'dont raise if pyarrow is not installed'

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Done

assert not is_dtype_equal(dtype, "string[pyarrow]")
pytest.importorskip("pyarrow")
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use the decorator on the function itself to skip

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Done


def test_constructor_invalid(self):
msg = "Parameter 'categories' must be list-like"
with pytest.raises(TypeError, match=msg):
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