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fix column_arrays for array manager #45001

Merged
merged 6 commits into from
Dec 28, 2021
Merged

fix column_arrays for array manager #45001

merged 6 commits into from
Dec 28, 2021

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Dr-Irv
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@Dr-Irv Dr-Irv commented Dec 21, 2021 •
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Note - I was doing this in parallel with @phofl skipping the JSON tests for the array manager. So I undid those changes so that the JSON code tests with array manager are done.

jreback
jreback requested changes Dec 21, 2021
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pandas/core/internals/array_manager.py Outdated
@@ -794,7 +794,14 @@ def column_arrays(self) -> list[ArrayLike]:
"""
Used in the JSON C code to access column arrays.
"""
return self.arrays

def convert_array(arr: ArrayLike) -> ArrayLike:
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extract_array ?

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That doesn't work to convert the ExtensionArray to a numpy array:

In [1]: import pandas as pd

In [2]: pd.__version__
Out[2]: '1.4.0.dev0+1440.g5ee2c0229b.dirty'

In [3]: from pandas.core.construction import extract_array

In [4]: a=pd.array([1,2,3])

In [5]: a
Out[5]:
<IntegerArray>
[1, 2, 3]
Length: 3, dtype: Int64

In [6]: extract_array(a, True)
Out[6]:
<IntegerArray>
[1, 2, 3]
Length: 3, dtype: Int64

That may be a bug in the implementation of extract_array() . Should I fix that and use it instead?

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That may be a bug in the implementation of extract_array() . Should I fix that and use it instead?

No, that is behaving as intended.

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That may be a bug in the implementation of extract_array() . Should I fix that and use it instead?

No, that is behaving as intended.

OK, the docs aren't clear, because the parameter extract_numpy=True then only works for numpy backed extension arrays, otherwise it is ignored for other EA types (e.g., Categorical)

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numpy backed extension arrays

yep, that is poor wording on the 'obj' arg; the 'extract_numpy' part of the docstring gets it right. ill write myself a note to fix the wording.

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why isn't np.asarray the right answer here?

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why isn't np.asarray the right answer here?

That would work, yes.

@jreback jreback added the IO JSON read_json, to_json, json_normalize label Dec 21, 2021
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Dr-Irv commented Dec 22, 2021

@jreback I think this is good to go - all failures are related to the distutils issue.

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@Dr-Irv can you merge master

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Dr-Irv commented Dec 28, 2021

@Dr-Irv can you merge master

Done. One of the tests timed out - should I try again?

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jreback commented Dec 28, 2021

@Dr-Irv can you merge master

Done. One of the tests timed out - should I try again?

umm can you just use np.asarray?

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Dr-Irv commented Dec 28, 2021

umm can you just use np.asarray?

An ExtensionArray has the to_numpy() method, which also handles NA values correctly. The default implementation does use np.asarray(), but someone implementing an EA subclass has the option of overriding the implementation, so it seems we should use that instead.

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jreback commented Dec 28, 2021

ok can u see if we repeat this code elsewhere iirc o have seen this a few times and don't want to reinvent the wheel yet again

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Dr-Irv commented Dec 28, 2021

ok can u see if we repeat this code elsewhere iirc o have seen this a few times and don't want to reinvent the wheel yet again

There is one place:

pandas/core/arrays/_mixins.py has class NDArrayBackedExtensionArray with method _validate_searchsorted_value() that is identical to convert_array() above. But the classes NDArrayBackedExtensionArray and ArrayManager are unrelated.

So a solution would be to move convert_array() to pandas/core/common.py, and change calls to _validate_search_sorted() to use that convert_array() instead. Let me know if I should do that.

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jreback commented Dec 28, 2021

ok can u see if we repeat this code elsewhere iirc o have seen this a few times and don't want to reinvent the wheel yet again

There is one place:

pandas/core/arrays/_mixins.py has class NDArrayBackedExtensionArray with method _validate_searchsorted_value() that is identical to convert_array() above. But the classes NDArrayBackedExtensionArray and ArrayManager are unrelated.

So a solution would be to move convert_array() to pandas/core/common.py, and change calls to _validate_search_sorted() to use that convert_array() instead. Let me know if I should do that.

yep let's do it, though I think you can leave the convert_array function in core/arrays/_mixins (or similar) @jbrockmendel could suggest a good location

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Dr-Irv commented Dec 28, 2021

yep let's do it, though I think you can leave the convert_array function in core/arrays/_mixins (or similar) @jbrockmendel could suggest a good location

I will await the suggested location from @jbrockmendel before making that change

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ExtensionBlock.values_for_json just uses np.asarray(self.values), so i dont think the distinction with to_numpy makes a difference. DatetimeTZBlock.values_for_json does something more performant which you could reuse.

Just use np.asarray and be done with it.

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Dr-Irv commented Dec 28, 2021

Just use np.asarray and be done with it.

OK that is in commit 178b2dd

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Dr-Irv commented Dec 28, 2021

@jbrockmendel @jreback this is now all green and just uses np.asarray()

@mroeschke mroeschke added this to the 1.4 milestone Dec 28, 2021
@jreback jreback merged commit 61bcdff into pandas-dev:master Dec 28, 2021
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jreback commented Dec 28, 2021

thanks @Dr-Irv

@Dr-Irv Dr-Irv deleted the issue44994 branch February 13, 2023 20:56
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@jbrockmendel jbrockmendel jbrockmendel left review comments

@jreback jreback jreback approved these changes

@mroeschke mroeschke mroeschke approved these changes

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CI: Test experimental data manager failing due to new JSON format for ExtensionArray dtypes
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