Yikun edited a comment on pull request #34717:
URL: https://github.com/apache/spark/pull/34717#issuecomment-979659317
Just to start the discussion:
Here is top 20 download from pypi stat:
By using below sql according [1], we can got the top 20 download version of
Pandas in last 3 months.
```SQL
SELECT
file.version AS file_version,
COUNT(*) AS num_downloads,
FROM `the-psf.pypi.file_downloads`
WHERE file.project = 'pandas'
AND
-- Only query the last 3 months of history
DATE(timestamp)
BETWEEN DATE_SUB(CURRENT_DATE(), INTERVAL 3 MONTH)
AND CURRENT_DATE()
GROUP BY `file_version`
ORDER BY `num_downloads` DESC
```
| version | number | percent
-- | -- | -- | --
1 | 0.25.3 | 35149221 | 14.28%
2 | 1.1.5 | 28722806 | 11.67%
3 | 1.3.4 | 20944236 | 8.51%
4 | 1.3.3 | 16861573 | 6.85%
5 | 0.24.2 | 13235233 | 5.38%
6 | 1.0.5 | 9201989 | 3.74%
7 | 1.3.2 | 9077326 | 3.69%
8 | 1.2.5 | 7902532 | 3.21%
9 | 1.2.4 | 5754284 | 2.34%
10 | 1.1.4 | 5710439 | 2.32%
11 | 1.1.0 | 4760847 | 1.93%
12 | 1.1.2 | 4621441 | 1.88%
13 | 1.2.3 | 4607043 | 1.87%
14 | 1.0.3 | 4601230 | 1.87%
15 | 0.23.4 | 4251044 | 1.73%
16 | 0.25.0 | 3862673 | 1.57%
17 | 1.2.1 | 2952346 | 1.20%
18 | 1.0.1 | 2690006 | 1.09%
19 | 0.22.0 | 2680710 | 1.09%
20 | 1.2.0 | 2645339 | 1.07%
21 | 0.24.1 | 2635411 | 1.07%
[1] https://packaging.python.org/guides/analyzing-pypi-package-downloads/
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