Skip to content

docs for aggregation over grouped array-like elements#3425

Merged
bkamins merged 3 commits intoJuliaData:mainfrom
huangyxi:patch-1
Mar 20, 2025
Merged

docs for aggregation over grouped array-like elements#3425
bkamins merged 3 commits intoJuliaData:mainfrom
huangyxi:patch-1

Conversation

@huangyxi
Copy link
Contributor

@huangyxi huangyxi commented Jan 31, 2024 •
edited
Loading

Demonstrate how to aggregate over grouped array-like elements. (#3424)

julia> df = DataFrame(a=[1, 1, 2, 2],
                      b=[[1, 2], [2, 3], [3, 4], [4, 5]])
4×2 DataFrame
 Row │ a      b
     │ Int64  Array…
─────┼───────────────
   1 │     1  [1, 2]
   2 │     1  [2, 3]
   3 │     2  [3, 4]
   4 │     2  [4, 5]

julia> gd = groupby(df, :a)
GroupedDataFrame with 2 groups based on key: a
First Group (2 rows): a = 1
 Row │ a      b
     │ Int64  Array…
─────┼───────────────
   1 │     1  [1, 2]
   2 │     1  [2, 3]
⋮
Last Group (2 rows): a = 2
 Row │ a      b
     │ Int64  Array…
─────┼───────────────
   1 │     2  [3, 4]
   2 │     2  [4, 5]

julia> combine(gd, :b => Ref∘sum)
2×2 DataFrame
 Row │ a      b_Ref_sum
     │ Int64  Array…
─────┼──────────────────
   1 │     1  [3, 5]
   2 │     2  [7, 9]

@huangyxi huangyxi changed the title docs for aggregation over grouped array-like elements (#3424) docs for aggregation over grouped array-like elements #3424 Jan 31, 2024
@huangyxi huangyxi changed the title docs for aggregation over grouped array-like elements #3424 docs for aggregation over grouped array-like elements Jan 31, 2024
@bkamins bkamins added the doc label Jan 31, 2024
@bkamins bkamins added this to the 1.7 milestone Jan 31, 2024
bkamins
bkamins reviewed Jan 31, 2024
View reviewed changes
src/abstractdataframe/selection.jl Outdated
8 │ 4 1 8 9
```

# aggregation over array-like elements
Copy link
Member

@bkamins bkamins Jan 31, 2024

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

It is not aggregation specific. @nalimilan - what would be the best comment here?
Maybe:

# protecting vectors returned from a function from being expanded into multiple rows

(but it seems long, but maybe it is OK)

Copy link
Contributor Author

@huangyxi huangyxi Mar 2, 2025

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Hi @nalimilan, do you have any suggestions?

Copy link
Member

@nalimilan nalimilan Mar 16, 2025

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Maybe this is explicit enough?

# protecting returned vectors from being expanded into multiple rows

@bkamins bkamins modified the milestones: 1.7, 1.x Sep 14, 2024
@huangyxi huangyxi requested a review from bkamins March 20, 2025 07:42
@bkamins bkamins merged commit 900d016 into JuliaData:main Mar 20, 2025
7 of 8 checks passed
@bkamins
Copy link
Member

bkamins commented Mar 20, 2025

Thank you!

@huangyxi huangyxi deleted the patch-1 branch March 31, 2025 08:41
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Reviewers

@nalimilan nalimilan nalimilan left review comments

@bkamins bkamins bkamins approved these changes

Assignees

No one assigned

Labels

doc

Projects

None yet

Milestone

1.x

Development

Successfully merging this pull request may close these issues.

3 participants

@huangyxi @bkamins @nalimilan