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https://issues.apache.org/jira/browse/ARROW-10641?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joris Van den Bossche updated ARROW-10641:
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Description:
A "replace" or "map" kernel to replace values in array based on mapping. This
would be similar as the pandas {{Series.replace}} (or {{Series.map}}) kernel,
and as a small illustration of what is meant:
{code}
In [41]: s = pd.Series(["Yes", "Y", "No", "N"])
In [42]: s
Out[42]:
0 Yes
1 Y
2 No
3 N
dtype: object
In [43]: s.replace({"Y": "Yes", "N": "No"})
Out[43]:
0 Yes
1 Yes
2 No
3 No
dtype: object
{code}
Note: in pandas the difference between "replace" and "map" is that replace will
only replace a value if it is present in the mapping, while map will replace
every value in the input array with the corresponding value in the mapping and
return null if not present in the mapping. This different behaviour could maybe
be triggered with a keyword.
Note, this is different from ARROW-10306 which is about string replacement
_within_ array elements (replacing a substring in each string element in the
array), while here it is about replacing full elements of the array)
cc [~maartenbreddels]
was:
A "replace" or "map" kernel to replace values in array based on mapping. This
would be similar as the pandas {{Series.replace}} (or {{Series.map}}) kernel,
and as a small illustration of what is meant:
{code}
In [41]: s = pd.Series(["Yes", "Y", "No", "N"])
In [42]: s
Out[42]:
0 Yes
1 Y
2 No
3 N
dtype: object
In [43]: s.replace({"Y": "Yes", "N": "No"})
Out[43]:
0 Yes
1 Yes
2 No
3 No
dtype: object
{code}
Note: in pandas the difference between "replace" and "map" is that replace will
only replace a value if it is present in the mapping, while map will replace
every value in the input array with the corresponding value in the mapping and
return null if not present in the mapping.
Note, this is different from ARROW-10306 which is about string replacement
_within_ array elements (replacing a substring in each string element in the
array), while here it is about replacing full elements of the array)
cc [~maartenbreddels]
> [C++] A "replace" or "map" kernel to replace values in array based on mapping
> -----------------------------------------------------------------------------
>
> Key: ARROW-10641
> URL: https://issues.apache.org/jira/browse/ARROW-10641
> Project: Apache Arrow
> Issue Type: New Feature
> Components: C++
> Reporter: Joris Van den Bossche
> Priority: Major
>
> A "replace" or "map" kernel to replace values in array based on mapping. This
> would be similar as the pandas {{Series.replace}} (or {{Series.map}}) kernel,
> and as a small illustration of what is meant:
> {code}
> In [41]: s = pd.Series(["Yes", "Y", "No", "N"])
> In [42]: s
> Out[42]:
> 0 Yes
> 1 Y
> 2 No
> 3 N
> dtype: object
> In [43]: s.replace({"Y": "Yes", "N": "No"})
> Out[43]:
> 0 Yes
> 1 Yes
> 2 No
> 3 No
> dtype: object
> {code}
> Note: in pandas the difference between "replace" and "map" is that replace
> will only replace a value if it is present in the mapping, while map will
> replace every value in the input array with the corresponding value in the
> mapping and return null if not present in the mapping. This different
> behaviour could maybe be triggered with a keyword.
> Note, this is different from ARROW-10306 which is about string replacement
> _within_ array elements (replacing a substring in each string element in the
> array), while here it is about replacing full elements of the array)
> cc [~maartenbreddels]
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