ENH: support downcasting of nullable EAs in pd.to_numeric #38746

arw2019 · 2020-12-28T07:22:31Z

closes ENH: Support downcasting of nullable dtypes in to_numeric #33013
tests added / passed
passes black pandas
passes git diff upstream/master -u -- "*.py" | flake8 --diff
whatsnew entry

Picking up #33435.

In pd.to_numeric when encountering an IntegerArray and FloatingArray (or Series built from them) we downcast _data then reconstruct the array using the downcast _data and the _mask from the original array.

jorisvandenbossche

Thanks for working on this one!

jorisvandenbossche · 2020-12-28T10:34:38Z

pandas/core/tools/numeric.py


    if isinstance(arg, ABCSeries):
        is_series = True
        values = arg.values
+        if is_extension_array_dtype(arg) and isinstance(values, NumericArray):
+            is_numeric_extension_dtype = True
+            values = extract_array(arg)


Is this extract_array line needed? (the values = arg.values from above should have worked fine, I think)

It's not, I reverted this bit

pandas/tests/tools/test_to_numeric.py

…-to_numeric

jreback · 2020-12-28T18:09:30Z

pandas/core/tools/numeric.py

@@ -142,6 +147,10 @@ def to_numeric(arg, errors="raise", downcast=None):
    else:
        values = arg

+    if is_extension_array_dtype(arg) and isinstance(values, NumericArray):


this really should be part of the above logic. also mask needs to be defined for all cases (can be default to None)

this really should be part of the above logic.

The reason for having it down here is to handle EA dtype Series and array in a single place (and Index when #34159/#37869 go through)

also mask needs to be defined for all cases (can be default to None)

done

jreback · 2020-12-28T18:10:34Z

pandas/core/tools/numeric.py

@@ -142,6 +147,10 @@ def to_numeric(arg, errors="raise", downcast=None):
    else:
        values = arg

+    if is_extension_array_dtype(arg) and isinstance(values, NumericArray):
+        is_numeric_extension_dtype = True
+        mask, values = values._mask, values._data


you likely need to just take the masked values only for the following block of code

jreback · 2020-12-28T18:10:50Z

pandas/core/tools/numeric.py

@@ -188,6 +197,16 @@ def to_numeric(arg, errors="raise", downcast=None):
                    if values.dtype == dtype:
                        break

+    if is_numeric_extension_dtype:


L194 might need to handle the mask

Do you mean?

float_32_ind = typecodes.index(float_32_char)

I feel like there's a testcase I haven't looked at if yes (the ones I have work as is)

pandas/tests/tools/test_to_numeric.py

Co-authored-by: Joris Van den Bossche <jorisvandenbossche@gmail.com>

pandas/core/tools/numeric.py

arw2019 · 2020-12-28T22:50:06Z

Green + addressed comments

jreback

can you also update the doc-string of to_numeric as well as add some examples.

pandas/core/tools/numeric.py

pandas/tests/tools/test_to_numeric.py

jorisvandenbossche · 2020-12-29T07:40:39Z

pandas/tests/tools/test_to_numeric.py

+        ([-1, -1], "Int32", "unsigned", "Int32"),
+        ([1, 1], "Float64", "float", "Float32"),
+        ([1, 1.1], "Float64", "float", "Float32"),
+        ([1, 1], "Float64", "integer", "Int8"),


Nit: maybe move this one up to the other "integer" downcast cases

arw2019 · 2020-12-30T06:09:44Z

pandas/tests/tools/test_to_numeric.py

+        ([-1, -1], "Int32", "unsigned", "Int32"),
+        ([1, 1], "Float64", "float", "Float32"),
+        ([1, 1.1], "Float64", "float", "Float32"),
+        ([1, 1], "Float64", "integer", "Int8"),


pandas/tests/tools/test_to_numeric.py

pandas/core/tools/numeric.py

arw2019 · 2020-12-30T06:40:46Z

pandas/core/tools/numeric.py

@@ -108,6 +110,21 @@ def to_numeric(arg, errors="raise", downcast=None):
    2    2.0
    3   -3.0
    dtype: float64
+


Docstring updated.

…-to_numeric

pandas/core/tools/numeric.py

Co-authored-by: Joris Van den Bossche <jorisvandenbossche@gmail.com>

jreback

thanks @arw2019

jreback · 2020-12-30T13:57:18Z

pandas/core/tools/numeric.py

+    2    3
+    dtype: Int8
+    >>> s = pd.Series([1.0, 2.1, 3.0], dtype="Float64")
+    >>> pd.to_numeric(s, downcast="float")


we may want to also accept Float and Integer as aliases for float | integer (separate issue)

I don't think we should do that, since those are not actually dtypes, but rather values to a downcast keyword which eg also accepts "signed"/"unsigned"

pandas/core/tools/numeric.py

jorisvandenbossche · 2020-12-30T14:06:49Z

Thanks @arw2019 !

…#38746)

arw2019 added 3 commits December 28, 2020 02:10

tests

a594847

add NumericArray path in to_numeric

a1bb9fc

replace to_numpy use with _data

dbba7b4

arw2019 changed the title ~~[WIP] ENH: downcasting of nullable EAs in pd.to_numeric~~ [WIP] ENH: support downcasting of nullable EAs in pd.to_numeric Dec 28, 2020

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more testcases

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Merge branch 'master' of https://github.com/pandas-dev/pandas into EA…

7b4180e

…-to_numeric

arw2019 changed the title ~~[WIP] ENH: support downcasting of nullable EAs in pd.to_numeric~~ ENH: support downcasting of nullable EAs in pd.to_numeric Dec 28, 2020

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arw2019 mentioned this pull request Dec 30, 2020

BUG: Series constructor with nullable unsigned integer dtype fails with large number #38798

Closed

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Merge branch 'master' of https://github.com/pandas-dev/pandas into EA…

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jreback merged commit 94810d1 into pandas-dev:master Dec 30, 2020

This was referenced Jan 5, 2021

BUG: pd.to_numeric does not copy _mask for ExtensionArrays #38974

Closed

BUG: pd.to_numeric does not copy _mask for ExtensionArrays #39049

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luckyvs1 pushed a commit to luckyvs1/pandas that referenced this pull request Jan 20, 2021

ENH: support downcasting of nullable EAs in pd.to_numeric (pandas-dev…

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…#38746)

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TST: Make ARM build work (not in the CI) #41739

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ENH: support downcasting of nullable EAs in pd.to_numeric #38746

ENH: support downcasting of nullable EAs in pd.to_numeric #38746

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ENH: support downcasting of nullable EAs in pd.to_numeric #38746

ENH: support downcasting of nullable EAs in pd.to_numeric #38746

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jorisvandenbossche commented Dec 30, 2020