| From: | Adrian Klaver <adrian(dot)klaver(at)aklaver(dot)com> |
|---|---|
| To: | Shaozhong SHI <shishaozhong(at)gmail(dot)com> |
| Cc: | pgsql-general <pgsql-general(at)lists(dot)postgresql(dot)org> |
| Subject: | Re: Testing of a fast method to bulk insert a Pandas DataFrame into Postgres |
| Date: | 2021-10-04 17:28:34 |
| Message-ID: | d883ed79-df00-5880-85fc-36a6639389c9@aklaver.com |
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| Lists: | pgsql-general pgsql-sql |
On 10/4/21 10:10 AM, Shaozhong SHI wrote:
> Hello, Adrian Klaver,
> What is the robust way to upgrade Pandas?
Carefully.
The most recent version is 1.3.3, which is approximately 5 versions
ahead of where you are now. The big jump is when Pandas went from 0.25
to 1.0. See docs here:
https://pandas.pydata.org/docs/whatsnew/v1.0.0.html?highlight=upgrade
So the process should be 0.24 -> 0.25, verify, 0.25 -> 1.0, verify. Then
on to wherever you want to end up a step at a time.
Before each step spend time here:
https://pandas.pydata.org/docs/whatsnew/
to see what the gotcha's are.
> Regards,
> David
>
--
Adrian Klaver
adrian(dot)klaver(at)aklaver(dot)com
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