Mailman 3 August 2020 - Pandas-dev

Re: [Pandas-dev] A case for a simplified (non-consolidating) BlockManager with 1D blocks
by Brock Mendel Dec. 17, 2021

Dec. 17, 2021

> We actually *have* prototypes: the prototype of the split-policy discussed AFAICT that is a 5 year old branch. Is there a version of this based off of master that you can show asv results for? > Also, if performance is in the end the decisive criterion, I repeat my earlier remark in this thread: we need to be clearer about what we want / expect. In principle, this is pretty much exactly what the asvs are supposed to represent. ---- You have demonstrated that you are willing to repeat yourself more than I am, to the point that I find pandas interactions more frustrating than fulfilling. I'm going to step away for a little while. On Thu, Jun 11, 2020 at 1:29 PM Daniel Scott <scottdaniel539(a)yahoo.com> wrote: > > > Sent from Yahoo Mail on Android > <https://go.onelink.me/107872968?pid=InProduct&c=Global_Internal_YGrowth_And…> > > On Thu, Jun 11, 2020 at 3:10 PM, Joris Van den Bossche > <jorisvandenbossche(a)gmail.com> wrote: > _______________________________________________ > Pandas-dev mailing list > Pandas-dev(a)python.org > https://mail.python.org/mailman/listinfo/pandas-dev > >

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possible bug with 1.1.0
by David Nelson - AI Global Media Aug. 18, 2020

Aug. 18, 2020

Hi there, How do I report a possible bug with the new release of Pandas. I can't find out how to online so I thought I would email for guidance. Regards Dave Nelson

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Parameterized timestamp type
by James Taylor Aug. 5, 2020

Aug. 5, 2020

Hello, I'm using Panda DataFrame with Presto v338 which was recently changed to use parameterized timestamp types. Instead of outputting the type as TIMESTAMP, Presto now outputs it as TIMESTAMP(3). Unfortunately, with Panda's DataFrame my timestamp columns are dtyped as object instead of datetime now. Any known workaround? Would newer versions fix this? Thanks, James

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