From christianzlong at gmail.com  Mon Oct  3 15:25:38 2016
From: christianzlong at gmail.com (Christian Long)
Date: Mon, 3 Oct 2016 14:25:38 -0500
Subject: [FoxPUG] October meeting
Message-ID: <CAEP7POpee4btgQn1bTpH23g6Ama65d3-O2UHsO7UFquUzZ6oQQ@mail.gmail.com>

Hi All,

Our October meeting is tonight at 7.

http://foxpython.tumblr.com/post/150337285747/october-meeting


We'll be working on the Google Earth Engine. See you there!


Christian

From christianzlong at gmail.com  Fri Oct  7 18:59:03 2016
From: christianzlong at gmail.com (Christian Long)
Date: Fri, 7 Oct 2016 17:59:03 -0500
Subject: [FoxPUG] Python Pandas equivalent to R's dplyr
Message-ID: <CAEP7POrhSkGWfu4YyArFvdRktVKrfAiO1NxqosgDLDtoo=ycig@mail.gmail.com>

Hi,

This is a question mostly for Nick, but I figured I'd put it out for
the whole list too.

R has a library called dplyr which makes it easy to chain dataframe
operations together in to a pipeline. There are several Python
libraries that claim to do the same for Pandas DataFrames. I wonder if
any of you have experience or opinions about this.

dplython
https://github.com/dodger487/dplython

pandas-ply
http://pythonhosted.org/pandas-ply/

dfply
https://github.com/kieferk/dfply

Plain method chaining using only Pandas
http://stackoverflow.com/a/29585283/456550

What do you think? Any preferences?

Thanks,

Christian

From fromiester_69 at yahoo.com  Tue Oct 11 18:20:19 2016
From: fromiester_69 at yahoo.com (Nick)
Date: Tue, 11 Oct 2016 17:20:19 -0500
Subject: [FoxPUG] Python Pandas equivalent to R's dplyr
In-Reply-To: <CAEP7POrhSkGWfu4YyArFvdRktVKrfAiO1NxqosgDLDtoo=ycig@mail.gmail.com>
References: <CAEP7POrhSkGWfu4YyArFvdRktVKrfAiO1NxqosgDLDtoo=ycig@mail.gmail.com>
Message-ID: <5FF7A031-2DA4-4480-8B2A-995C38CB13AC@yahoo.com>

Christian, 
    I'm familiar with the piping in R, it is relative new (last year?) it is actually from another package that is being leveraged by dplyr and others. 

I have not tried any of the other packages below, but I would assume there are some piping operators or packages in Python, that could be leveraged? 

-Nick 

> On Oct 7, 2016, at 5:59 PM, Christian Long <christianzlong at gmail.com> wrote:
> 
> Hi,
> 
> This is a question mostly for Nick, but I figured I'd put it out for
> the whole list too.
> 
> R has a library called dplyr which makes it easy to chain dataframe
> operations together in to a pipeline. There are several Python
> libraries that claim to do the same for Pandas DataFrames. I wonder if
> any of you have experience or opinions about this.
> 
> dplython
> https://github.com/dodger487/dplython
> 
> pandas-ply
> http://pythonhosted.org/pandas-ply/
> 
> dfply
> https://github.com/kieferk/dfply
> 
> Plain method chaining using only Pandas
> http://stackoverflow.com/a/29585283/456550
> 
> What do you think? Any preferences?
> 
> Thanks,
> 
> Christian
> _______________________________________________
> FoxPUG mailing list
> FoxPUG at python.org
> https://mail.python.org/mailman/listinfo/foxpug


From christianzlong at gmail.com  Tue Oct 11 18:30:14 2016
From: christianzlong at gmail.com (Christian Long)
Date: Tue, 11 Oct 2016 17:30:14 -0500
Subject: [FoxPUG] Python Pandas equivalent to R's dplyr
In-Reply-To: <5FF7A031-2DA4-4480-8B2A-995C38CB13AC@yahoo.com>
References: <CAEP7POrhSkGWfu4YyArFvdRktVKrfAiO1NxqosgDLDtoo=ycig@mail.gmail.com>
 <5FF7A031-2DA4-4480-8B2A-995C38CB13AC@yahoo.com>
Message-ID: <CAEP7POo_iZntMm2ZfXZD4ZPyMEmPKRR3169UJvQr_jRbNG1HJg@mail.gmail.com>

Hi Nick,

These packages all offer a way to chain operations together. Some of
them use a weird overloading of the >> operator. I'm not sure if
that's cool or too weird.

I'll play around with them, and see if I find a preference.

Thanks!

Christian

On Tue, Oct 11, 2016 at 5:20 PM, Nick <fromiester_69 at yahoo.com> wrote:
> Christian,
>     I'm familiar with the piping in R, it is relative new (last year?) it is actually from another package that is being leveraged by dplyr and others.
>
> I have not tried any of the other packages below, but I would assume there are some piping operators or packages in Python, that could be leveraged?
>
> -Nick
>
>> On Oct 7, 2016, at 5:59 PM, Christian Long <christianzlong at gmail.com> wrote:
>>
>> Hi,
>>
>> This is a question mostly for Nick, but I figured I'd put it out for
>> the whole list too.
>>
>> R has a library called dplyr which makes it easy to chain dataframe
>> operations together in to a pipeline. There are several Python
>> libraries that claim to do the same for Pandas DataFrames. I wonder if
>> any of you have experience or opinions about this.
>>
>> dplython
>> https://github.com/dodger487/dplython
>>
>> pandas-ply
>> http://pythonhosted.org/pandas-ply/
>>
>> dfply
>> https://github.com/kieferk/dfply
>>
>> Plain method chaining using only Pandas
>> http://stackoverflow.com/a/29585283/456550
>>
>> What do you think? Any preferences?
>>
>> Thanks,
>>
>> Christian
>> _______________________________________________
>> FoxPUG mailing list
>> FoxPUG at python.org
>> https://mail.python.org/mailman/listinfo/foxpug
>