From jorisvandenbossche at gmail.com  Mon Sep 22 00:21:44 2014
From: jorisvandenbossche at gmail.com (Joris Van den Bossche)
Date: Mon, 22 Sep 2014 00:21:44 +0200
Subject: [Pandas-dev] Release schedule for 0.15 ?
Message-ID: <CALQtMBZ1bFV8K2dxcvnqqmhCM7qOhKgtE__DGK6dR3_kALoNMg@mail.gmail.com>

Hey all,

Jeff, what do you envisage for the release schedule? The github milestone
states 30 September, which is approaching.

I think we need still some time to finish all up (there are still some
issues/PRs labels with 0.15), and I also think we need a good RC period
given the huge amount of new features.

Regards,
Joris
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From jorisvandenbossche at gmail.com  Mon Sep 22 09:21:58 2014
From: jorisvandenbossche at gmail.com (Joris Van den Bossche)
Date: Mon, 22 Sep 2014 09:21:58 +0200
Subject: [Pandas-dev] Release schedule for 0.15 ?
In-Reply-To: <72F1869D-DB0B-4DC4-A2F5-E927E8B9C8F0@gmail.com>
References: <CALQtMBZ1bFV8K2dxcvnqqmhCM7qOhKgtE__DGK6dR3_kALoNMg@mail.gmail.com>
 <72F1869D-DB0B-4DC4-A2F5-E927E8B9C8F0@gmail.com>
Message-ID: <CALQtMBY92V4w31XEdRDh2GAp6h-7c2nAvVF+gGOWw=A66En+aw@mail.gmail.com>

The issue is https://github.com/pydata/pandas/issues/8346

2014-09-22 0:45 GMT+02:00 Jeff Reback <jeffreback at gmail.com>:

>
>
> agreed
>
> plus hopefully can integrate some things from the hackathon
>
> let's try for rc1 after 1st week in oct
> release 1 week later
>
> will post an issue
>
> > On Sep 21, 2014, at 6:21 PM, Joris Van den Bossche <
> jorisvandenbossche at gmail.com> wrote:
> >
> > Hey all,
> >
> > Jeff, what do you envisage for the release schedule? The github
> milestone states 30 September, which is approaching.
> >
> > I think we need still some time to finish all up (there are still some
> issues/PRs labels with 0.15), and I also think we need a good RC period
> given the huge amount of new features.
> >
> > Regards,
> > Joris
> > _______________________________________________
> > Pandas-dev mailing list
> > Pandas-dev at python.org
> > https://mail.python.org/mailman/listinfo/pandas-dev
>
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From jeffreback at gmail.com  Tue Sep 23 15:55:16 2014
From: jeffreback at gmail.com (Jeff Reback)
Date: Tue, 23 Sep 2014 09:55:16 -0400
Subject: [Pandas-dev] Dataframe memory info printing
Message-ID: <CAHMnJKhhpZAcSiYkS1RctyPbUPtfEXtzxRJRm4q3h0rfBakReg@mail.gmail.com>

For the 0.15.0 release of pandas (coming 2nd week of oct), we are going to
include memory info printing:

see here: https://github.com/pydata/pandas/pull/7619

This will be controllable by an option display.memory_usage.

My question to the community should this be by default True, e.g. show the
memory usage (this only applies to using df.info())
There is really no performance impact here.

Pls let us know!

thanks

Jeff

>>> df.info(memory_usage=True)<class 'pandas.core.frame.DataFrame'>Int64Index: 10000000 entries, 0 to 9999999Data columns (total 5 columns):date        datetime64[ns]float       float64int         int64smallint    int16string      objectdtypes: datetime64[ns](1), float64(1), int16(1), int64(1), object(1)memory usage: 324.2 MB
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From lodagro at gmail.com  Wed Sep 24 10:22:11 2014
From: lodagro at gmail.com (Wouter Overmeire)
Date: Wed, 24 Sep 2014 10:22:11 +0200
Subject: [Pandas-dev] [pydata] Re: Dataframe memory info printing
In-Reply-To: <6c5be138-1a9a-45bb-904d-b951310984f1@googlegroups.com>
References: <CAHMnJKhhpZAcSiYkS1RctyPbUPtfEXtzxRJRm4q3h0rfBakReg@mail.gmail.com>
 <6c5be138-1a9a-45bb-904d-b951310984f1@googlegroups.com>
Message-ID: <CAKS7gT5T-LbhWpyN9yboDxBoAUTMDfMe+dU6vU6ToNKNP=RxxA@mail.gmail.com>

2014-09-24 4:02 GMT+02:00 Seth P <spadowitz at gmail.com>:

> I would favor it defaulting to True.
>

me too


>
>
> On Tuesday, September 23, 2014 9:55:20 AM UTC-4, Jeff wrote:
>>
>> For the 0.15.0 release of pandas (coming 2nd week of oct), we are going
>> to include memory info printing:
>>
>> see here: https://github.com/pydata/pandas/pull/7619
>>
>> This will be controllable by an option display.memory_usage.
>>
>> My question to the community should this be by default True, e.g. show
>> the memory usage (this only applies to using df.info())
>> There is really no performance impact here.
>>
>> Pls let us know!
>>
>> thanks
>>
>> Jeff
>>
>> >>> df.info(memory_usage=True)<class 'pandas.core.frame.DataFrame'>Int64Index: 10000000 entries, 0 to 9999999Data columns (total 5 columns):date        datetime64[ns]float       float64int         int64smallint    int16string      objectdtypes: datetime64[ns](1), float64(1), int16(1), int64(1), object(1)memory usage: 324.2 MB
>>
>>  --
> You received this message because you are subscribed to the Google Groups
> "PyData" group.
> To unsubscribe from this group and stop receiving emails from it, send an
> email to pydata+unsubscribe at googlegroups.com.
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>
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From spadowitz at gmail.com  Wed Sep 24 04:02:16 2014
From: spadowitz at gmail.com (Seth P)
Date: Tue, 23 Sep 2014 19:02:16 -0700 (PDT)
Subject: [Pandas-dev] Dataframe memory info printing
In-Reply-To: <CAHMnJKhhpZAcSiYkS1RctyPbUPtfEXtzxRJRm4q3h0rfBakReg@mail.gmail.com>
References: <CAHMnJKhhpZAcSiYkS1RctyPbUPtfEXtzxRJRm4q3h0rfBakReg@mail.gmail.com>
Message-ID: <6c5be138-1a9a-45bb-904d-b951310984f1@googlegroups.com>

I would favor it defaulting to True.

On Tuesday, September 23, 2014 9:55:20 AM UTC-4, Jeff wrote:
>
> For the 0.15.0 release of pandas (coming 2nd week of oct), we are going to 
> include memory info printing:
>
> see here: https://github.com/pydata/pandas/pull/7619
>
> This will be controllable by an option display.memory_usage.
>
> My question to the community should this be by default True, e.g. show the 
> memory usage (this only applies to using df.info())
> There is really no performance impact here.
>
> Pls let us know!
>
> thanks
>
> Jeff
>
> >>> df.info(memory_usage=True)<class 'pandas.core.frame.DataFrame'>Int64Index: 10000000 entries, 0 to 9999999Data columns (total 5 columns):date        datetime64[ns]float       float64int         int64smallint    int16string      objectdtypes: datetime64[ns](1), float64(1), int16(1), int64(1), object(1)memory usage: 324.2 MB
>
>
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From ivan.ogassawara at gmail.com  Wed Sep 24 13:46:43 2014
From: ivan.ogassawara at gmail.com (Ivan Ogassawara)
Date: Wed, 24 Sep 2014 08:46:43 -0300
Subject: [Pandas-dev] [pydata] Re: Dataframe memory info printing
In-Reply-To: <CAKS7gT5T-LbhWpyN9yboDxBoAUTMDfMe+dU6vU6ToNKNP=RxxA@mail.gmail.com>
References: <CAHMnJKhhpZAcSiYkS1RctyPbUPtfEXtzxRJRm4q3h0rfBakReg@mail.gmail.com>
 <6c5be138-1a9a-45bb-904d-b951310984f1@googlegroups.com>
 <CAKS7gT5T-LbhWpyN9yboDxBoAUTMDfMe+dU6vU6ToNKNP=RxxA@mail.gmail.com>
Message-ID: <CABgfW_f=72Vo7Mj6cd6OL1t=qGRuPsmXtzGB-zD1R_UXKR_iDw@mail.gmail.com>

me too!

2014-09-24 5:22 GMT-03:00 Wouter Overmeire <lodagro at gmail.com>:

>
>
> 2014-09-24 4:02 GMT+02:00 Seth P <spadowitz at gmail.com>:
>
>> I would favor it defaulting to True.
>>
>
> me too
>
>
>>
>>
>> On Tuesday, September 23, 2014 9:55:20 AM UTC-4, Jeff wrote:
>>>
>>> For the 0.15.0 release of pandas (coming 2nd week of oct), we are going
>>> to include memory info printing:
>>>
>>> see here: https://github.com/pydata/pandas/pull/7619
>>>
>>> This will be controllable by an option display.memory_usage.
>>>
>>> My question to the community should this be by default True, e.g. show
>>> the memory usage (this only applies to using df.info())
>>> There is really no performance impact here.
>>>
>>> Pls let us know!
>>>
>>> thanks
>>>
>>> Jeff
>>>
>>> >>> df.info(memory_usage=True)<class 'pandas.core.frame.DataFrame'>Int64Index: 10000000 entries, 0 to 9999999Data columns (total 5 columns):date        datetime64[ns]float       float64int         int64smallint    int16string      objectdtypes: datetime64[ns](1), float64(1), int16(1), int64(1), object(1)memory usage: 324.2 MB
>>>
>>>  --
>> You received this message because you are subscribed to the Google Groups
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>> To unsubscribe from this group and stop receiving emails from it, send an
>> email to pydata+unsubscribe at googlegroups.com.
>> For more options, visit https://groups.google.com/d/optout.
>>
>
>  --
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