On 10/4/21 10:28 AM, Adrian Klaver wrote:
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.
Should have added:
If you are not already working in a virtualenv it would be a good idea
to do the above in one or more.
Regards,
David
--
Adrian Klaver
adrian.kla...@aklaver.com
