Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/ryan-williams/pandas-groupby-axis-1

Last synced: about 2 months ago
JSON representation

Host: GitHub
URL: https://github.com/ryan-williams/pandas-groupby-axis-1
Owner: ryan-williams
Created: 2024-02-02T20:54:09.000Z (11 months ago)
Default Branch: main
Last Pushed: 2024-02-02T21:46:00.000Z (11 months ago)
Last Synced: 2024-10-20T07:45:30.285Z (3 months ago)
Language: Python
Size: 3.91 KB
Stars: 0
Watchers: 2
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md

Awesome Lists containing this project

README

# pandas-groupby-axis-1
Use case for Pandas' `groupby(axis=1)` (now deprecated: [pandas#51203]), and 2 example workarounds (using 2 and 4 "transpose" operations, resp.)

- [proj.py] shows a simple example of using `groupby(axis=1)`
- [The `tt` branch][tt diff] shows one workaround for the deprecation:
- Transpose before `.groupby`
- Transpose logic in the function passed to DataFrameGroupBy.apply
- Transpose again after `.apply`
- [The `tttt` branch][tttt diff] shows a simpler workaround, but which introduces 4 transpose operations:
- Transpose before `.groupby`
- Transpose at the start of the function passed to DataFrameGroupBy.apply
- Transpose at the end of the function passed to DataFrameGroupBy.apply
- Transpose again after `.apply`

Input table

[ytds.csv](ytds.csv)

crashes
cyclist
driver
passenger
pedestrian

cur_ytd
prv_end
prv_ytd
cur_ytd
prv_end
prv_ytd
cur_ytd
prv_end
prv_ytd
cur_ytd
prv_end
prv_ytd
cur_ytd
prv_end
prv_ytd

county

Atlantic
3
36
3
0
2
0
2
17
1
0
7
0
1
13
2

Bergen
5
36
2
0
1
0
2
21
0
0
4
0
3
12
2

Camden
3
41
3
0
5
0
0
19
1
0
7
2
3
11
0

Cape May
0
7
1
0
0
0
0
4
1
0
1
0
0
2
0

Essex
2
50
6
0
2
0
0
23
1
0
5
1
2
24
4

Gloucester
1
33
2
0
1
0
1
22
2
0
7
1
0
5
0

Hudson
2
25
2
0
3
0
1
11
1
0
3
0
1
10
1

Hunterdon
1
4
1
0
1
1
0
3
0
0
0
0
1
0
0

Mercer
2
31
1
0
0
0
2
16
0
0
3
0
0
12
1

Middlesex
6
62
8
0
2
0
2
32
5
2
9
0
4
21
3

Monmouth
5
38
5
0
4
1
1
18
0
3
7
0
2
9
4

Morris
0
22
2
0
0
0
0
14
1
0
4
0
0
4
1

Ocean
6
41
3
0
1
0
2
28
2
0
7
0
4
8
1

Passaic
1
24
1
0
0
0
0
15
1
0
1
0
1
9
0

Union
1
34
5
0
2
0
0
13
3
0
6
1
1
15
2

Warren
0
12
1
0
0
0
0
8
0
0
1
0
0
3
1

Burlington
3
34
0
0
1
0
2
26
0
1
3
0
0
6
0

Cumberland
1
20
0
0
0
0
0
13
0
0
5
0
1
4
0

Salem
0
11
0
0
0
0
0
8
0
0
2
0
0
2
0

Somerset
0
22
0
0
0
0
0
14
0
0
4
0
0
6
0

Sussex
0
6
0
0
0
0
0
6
0
0
2
0
0
1
0

Output table

[proj.csv](proj.csv)

crashes
cyclist
driver
passenger
pedestrian

roy
projected
roy
projected
roy
projected
roy
projected
roy
projected

county

Atlantic
33
36
2
2
17
19
6
6
11
12

Bergen
39
44
1
1
21
23
4
4
10
13

Camden
38
41
5
5
16
16
5
5
13
16

Cape May
5
5
0
0
3
3
1
1
2
2

Essex
41
43
2
2
20
20
4
4
19
21

Gloucester
30
31
1
1
19
20
5
5
5
5

Hudson
23
25
3
3
10
11
3
3
9
10

Hunterdon
3
4
0
0
3
3
0
0
1
2

Mercer
33
35
0
0
16
18
3
3
10
10

Middlesex
53
59
2
2
26
28
10
12
19
23

Monmouth
33
38
3
3
17
18
9
12
5
7

Morris
18
18
0
0
12
12
4
4
3
3

Ocean
41
47
1
1
26
28
6
6
9
13

Passaic
23
24
0
0
13
13
1
1
9
10

Union
27
28
2
2
9
9
5
5
12
13

Warren
10
10
0
0
7
7
1
1
2
2

Burlington
34
37
1
1
26
28
4
5
5
5

Cumberland
19
20
0
0
12
12
5
5
5
6

Salem
10
10
0
0
7
7
2
2
2
2

Somerset
20
20
0
0
13
13
4
4
5
5

Sussex
5
5
0
0
5
5
2
2
1
1

[pandas#51203]: https://github.com/pandas-dev/pandas/issues/51203
[proj.py]: proj.py
[DataFrameGroupBy.apply]: https://pandas.pydata.org/docs/reference/api/pandas.core.groupby.DataFrameGroupBy.apply.html
[tt diff]: https://github.com/ryan-williams/pandas-groupby-axis-1/commit/tt
[tttt diff]: https://github.com/ryan-williams/pandas-groupby-axis-1/commit/tttt