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  • 01:55
    karldw opened #28984
  • 01:43
    gfyoung labeled #28978
  • 01:43
    gfyoung labeled #28978
  • 01:42
    gfyoung labeled #28977
  • 01:42
    gfyoung labeled #28977
  • 01:41
    gfyoung labeled #28979
  • 01:41
    gfyoung labeled #28979
  • 01:41
    gfyoung labeled #28979
  • 01:27
    WillAyd closed #28705
  • 01:27
    WillAyd commented #28705
  • 01:26
    TomAugspurger closed #28954
  • 01:19
    gfyoung review_requested #28983
  • 01:19
    gfyoung review_requested #28983
  • 01:18
    gfyoung edited #28983
  • 01:18
    gfyoung labeled #28983
  • 00:52
    adamkusmirek commented #28926
  • 00:09
    gabriellm1 commented #28926
  • Oct 14 23:50
    mroeschke commented #28925
  • Oct 14 23:43
    jjlkant synchronize #28983
  • Oct 14 23:40
    adamkusmirek commented #28926
William Ayd
@WillAyd
Failing for us on the Azure build so I don’t think just a Travis thing
William Ayd
@WillAyd
So maybe something with the cert bundle not downloading as part of CI?
Behnaz khazai
@BK9966_twitter
hi, is there anyone familiar with PyDeface ?
I would really appreciate if you can reach out, I will be active on this twitter account
Joris Van den Bossche
@jorisvandenbossche
@WillAyd it's maybe a certifi/ca-certificates update that is needed (eg on conda-forge they did an update release last night)
Loïc Estève
@lesteve
I thought the same but ended up putting the blame on openssl=1.1.1d (not 100% sure). I opened ContinuumIO/anaconda-issues#11274.
(openssl 1.1.1d is not available on conda-forge which I think is the reason why there is no problem if you install from conda-forge)
Joris Van den Bossche
@jorisvandenbossche
thanks for opening that issue!
it's indeed only happening on envs that use defaults (not conda-forge)
but not on all envs using default
The failing build has
openssl 1.1.1d h7b6447c_0
while the non-failing build from defaults has
openssl 1.0.2s h7b6447c_0
so that seems to confirm what you posted in the issue
Loïc Estève
@lesteve
scikit-learn approach is pinning openssl=1.1.1c which seems reasonable
as a temporary work-around
Joris Van den Bossche
@jorisvandenbossche
Trying that for pandas as well, thanks
Kolmar Kafran
@kafran
Whats that site its a big white area where people copy and paste code live in the meetings?
PatrykJacak
@PatrykJacak
Hello
Someone is here? :)
I have a latest version Pandas: 0.25.0 and I have a problem with pandas.DataFrame.loc - I don't know why however i don't have that
Gabriel Corona
@randomstuff
What's your problem ?
londheshubham
@londheshubham
Whats the problem?
PatrykJacak
@PatrykJacak
I don't now why however my installation of Pandas have missing this function
image.png
For example :)
PatrykJacak
@PatrykJacak
Okay, however how I can use this?
Gabriel Corona
@randomstuff
Just try using it anyway
PatrykJacak
@PatrykJacak
Okay
I will try
PatrykJacak
@PatrykJacak
It works :) thank you
matrixbot
@matrixbot

Florian Hi there, can anyone help me with a seamingly simple task?

I have the following DataFrame:

   Participant  Time  Value
0            1     1      1
1            1     2      2
2            1     3      3
3            2     1      2
4            2     2      5
5            2     3      7

And now I want to subtract the Value at Time==1 from the Value at Time==2 and Time==3, such that the DataFrame becomes:

   Participant  Time  Value
0            1     1      0
1            1     2      1
2            1     3      2
3            2     1      0
4            2     2      3
5            2     3      5

I just cannot figure out how to do this :-)

matrixbot
@matrixbot

kir0ul > <@fladd:matrix.org> Hi there, can anyone help me with a seamingly simple task?

I have the following DataFrame:

   Participant  Time  Value
0            1     1      1
1            1     2      2
2            1     3      3
3            2     1      2
4            2     2      5
5            2     3      7

And now I want to subtract the Value at Time==1 from the Value at Time==2 and Time==3, such that the DataFrame becomes:

   Participant  Time  Value
0            1     1      0
1            1     2      1
2            1     3      2
3            2     1      0
4            2     2      3
5            2     3      5

I just cannot figure out how to do this :-)

Maybe this can help?
https://stackoverflow.com/questions/34855859/is-there-a-way-in-pandas-to-use-previous-row-value-in-dataframe-apply-when-previ

matrixbot
@matrixbot

Florian kir0ul: Thanks for the pointer. However, this does not seem to work. I do:

for i in range(1, len(data)):
    time = data.loc[i, "Time"]
    if time != 1:
        data.loc[i, "Time"] = data.loc[i, "Time"] - data.loc[i-time-1, "Time"]

But I get the error:

KeyError: 'the label [-2] is not in the [index]'
Florian ha, paranthesis error :-)
Florian but it still does not work. I creates the original data frame, instead of the subtracted one
matrixbot
@matrixbot
Florian got it to work now. Thanks!
Marc Garcia
@datapythonista
@WillAyd regarding the stale bot, this should be quite simple to implement with GitHub actions directly in the CI (see https://github.com/actions/stale). This is still beta, but when it's released, I see an advantage having it set up in a yaml in the repository, compared to having to integrate another third-party service.
I'm neutral on whether this is a good idea or not, I'd say that if there is interest, we can give it a try, and if it becomes annoying we remove it
Joris Van den Bossche
@jorisvandenbossche
@jreback @TomAugspurger @jbrockmendel now or in 2.5 hours?
Tom Augspurger
@TomAugspurger
I think now
Joris Van den Bossche
@jorisvandenbossche
Jeff just sent a mail to ask in two hours
Tom Augspurger
@TomAugspurger
Joris Van den Bossche
@jorisvandenbossche
as I said originally, for me either now or in 2.5 hours, but both are fine
Jeff Reback
@jreback
if u don’t mind can we reschedule for 2 (or 2.5) hours
or go ahead if i guys are already on the call
Tom Augspurger
@TomAugspurger
@jreback we had the call. Notes at https://docs.google.com/document/d/1k_E_1oSV9VNHgGzepdeCyFdju8ZaXDwI3CvDYkhOtQ8/edit?usp=sharing. Summary at the bottom is where I’d recommend focusing.
Jeff Reback
@jreback
onboard with the summary - i’d say go ahead with a PR
William Ayd
@WillAyd
@datapythonista cool thanks for the info. I am also on board with maybe try and if we don’t like can always revert