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DEPR: Index.asi8 #37877

Merged
merged 9 commits into from
Nov 19, 2020
Merged

DEPR: Index.asi8 #37877

merged 9 commits into from
Nov 19, 2020

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jbrockmendel
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  • closes #xxxx
  • tests added / passed
  • passes black pandas
  • passes git diff upstream/master -u -- "*.py" | flake8 --diff
  • whatsnew entry

@jbrockmendel jbrockmendel changed the title Depr asi8 DEPR: Index.asi8 Nov 15, 2020
@@ -415,6 +415,11 @@ def asi8(self):
ndarray
An ndarray with int64 dtype.
"""
warnings.warn(
"Index.asi8 is deprecated and will be removed in a future version",
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can you add that the replacement is .astype('i8')

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trouble is thats not really correct for the Index classes we're deprecating it for. For these classes .asi8 returns None

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ahh ok. are we deprecating for DTI and cousins? (I think we should do that as well to be consistent).

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ill take a look; that might be pretty invasive

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ok i think you should make this an internal method and deprecate the user facing one (even though we use it internally in the many parts of pandas)

result = np.array(self)
if needs_i8_conversion(self.dtype):
# TODO: these do not match the underlying EA argsort methods GH#37863
return self.asi8.argsort(*args, **kwargs)
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why are you calling .asi8 here?

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comment just above #37863 a handful of tests fail if we pass through to the backing EA.argsort

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won't these show the deprecation warning?

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no, because we're not deprecating it for the datetimelike classes

values = arg.asi8
if values is None:
if needs_i8_conversion(arg.dtype):
values = arg.asi8
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aren't you deprecating this?

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only deprecating the one in pd.Index that returns None

@jreback jreback added Deprecate Functionality to remove in pandas Index Related to the Index class or subclasses labels Nov 15, 2020
@jreback jreback added this to the 1.2 milestone Nov 17, 2020
@@ -457,7 +457,8 @@ Deprecations
- :class:`Index` methods ``&``, ``|``, and ``^`` behaving as the set operations :meth:`Index.intersection`, :meth:`Index.union`, and :meth:`Index.symmetric_difference`, respectively, are deprecated and in the future will behave as pointwise boolean operations matching :class:`Series` behavior. Use the named set methods instead (:issue:`36758`)
- :meth:`Categorical.is_dtype_equal` and :meth:`CategoricalIndex.is_dtype_equal` are deprecated, will be removed in a future version (:issue:`37545`)
- :meth:`Series.slice_shift` and :meth:`DataFrame.slice_shift` are deprecated, use :meth:`Series.shift` or :meth:`DataFrame.shift` instead (:issue:`37601`)
- Partial slicing on unordered :class:`DatetimeIndexes` with keys, which are not in Index is deprecated and will be removed in a future version (:issue:`18531`)
- Partial slicing on unordered :class:`DatetimeIndex` with keys, which are not in Index is deprecated and will be removed in a future version (:issue:`18531`)
- Deprecated :meth:`Index.asi8` (:issue:`37877`)
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Can you clarify this deprecation is only for the non-datetimelike Index subclasses for which the attribute currently returns None?

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good idea, will update

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updated + greenish

@jorisvandenbossche
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(whatsnew conflict)

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jreback commented Nov 18, 2020

ok resolved, will merge on greenish

@jreback jreback merged commit d5b2094 into pandas-dev:master Nov 19, 2020
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jreback commented Nov 19, 2020

thanks @jbrockmendel

@jbrockmendel jbrockmendel deleted the depr-asi8 branch November 19, 2020 00:27
dongjoon-hyun pushed a commit to apache/spark that referenced this pull request Sep 16, 2023
### What changes were proposed in this pull request?

This PR proposes to remove deprecated `Index` APIs from Pandas API on Spark.

### Why are the changes needed?

To follow the behavior of the latest Pandas.

See pandas-dev/pandas#37877 for `Index.asi8`

See pandas-dev/pandas#42113 for `Index.is_type_compatible`

### Does this PR introduce _any_ user-facing change?

`Index.asi8`, `Index.is_type_compatible` is removed. `Index.astype` and `Index.isin` can be used instead respectively.

### How was this patch tested?

The existing CI should pass.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #42926 from itholic/SPARK-45164.

Authored-by: Haejoon Lee <haejoon.lee@databricks.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
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3 participants