From matsaueressig at hotmail.com  Fri Dec  2 14:51:15 2022
From: matsaueressig at hotmail.com (Matheus Saueressig)
Date: Fri, 2 Dec 2022 19:51:15 +0000
Subject: [Pandas-dev] Filtering and writing csv of dataframe's mean
Message-ID: <CP4P284MB13130301E7F3A436A7CFFD25AC179@CP4P284MB1313.BRAP284.PROD.OUTLOOK.COM>

Hi,

So I'm creating a python program that reads a csv file containing some columns with strings and numbers.

What I want to do is to select the rows which their column corresponds to a certain type. For example, I want all the rows with the Type "Red".

So far so good, I came with this:


data1 = dataFrame[dataFrame['Type'].str.contains('red')]

Okay, now what I want to do is quite more complicated. I want to select all rows with a specific column destination(For example, West), then I want to make the mean of all individual numerical columns and get one single row with the type Red and West destinatinon which each column(number of apples, number of bananas) its the means of each numerical column.

For example:

Input:

Plane Type Destination Bananas Apples Pineapples

A         Red    West           1                2             3
B         Blue   West          4                   7            3
C         Red    East            4                  5            6
D        Green North        7                  8            9
E         Red    East            6                  5            7

Output:

Type Destination Bananas Apples Pineapples
Red    West            1                2             3

Red    East             5                  5            5

Anyone knows how can I proceed the coding?

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From rhshadrach at gmail.com  Sat Dec  3 10:53:24 2022
From: rhshadrach at gmail.com (Richard Shadrach)
Date: Sat, 3 Dec 2022 10:53:24 -0500
Subject: [Pandas-dev] Filtering and writing csv of dataframe's mean
In-Reply-To: <CP4P284MB13130301E7F3A436A7CFFD25AC179@CP4P284MB1313.BRAP284.PROD.OUTLOOK.COM>
References: <CP4P284MB13130301E7F3A436A7CFFD25AC179@CP4P284MB1313.BRAP284.PROD.OUTLOOK.COM>
Message-ID: <CAJ=56RLmAER99eThG-M1jBHCTwQXHu09r_PxkrbtK4XaOfO+xA@mail.gmail.com>

Hi Matheus,

This mailing list is for pandas developers working on pandas. Stack
Overflow is a great site where you can ask usage questions - I recommend
asking this question there. If your question doesn't get any answers after
several days, it may then be appropriate to ask the question on the pandas
GitHub issue tracker.

Best,
Richard

On Sat, Dec 3, 2022, 08:48 Matheus Saueressig <matsaueressig at hotmail.com>
wrote:

> Hi,
>
> So I'm creating a python program that reads a csv file containing some
> columns with strings and numbers.
>
> What I want to do is to select the rows which their column corresponds to
> a certain type. For example, I want all the rows with the Type "Red".
>
> So far so good, I came with this:
>
> data1 = dataFrame[dataFrame['Type'].str.contains('red')]
>
> Okay, now what I want to do is quite more complicated. I want to select
> all rows with a specific column destination(For example, West), then I want
> to make the mean of all individual numerical columns and get one single row
> with the type Red and West destinatinon which each column(number of apples,
> number of bananas) its the means of each numerical column.
>
> For example:
>
> Input:
>
> Plane Type Destination Bananas Apples Pineapples
>
> A         Red    West           1                2             3
> B         Blue   West          4                   7            3
> C         Red    East            4                  5            6
> D        Green North        7                  8            9
> E         Red    East            6                  5            7
>
> Output:
>
> Type Destination Bananas Apples Pineapples
> Red    West            1                2             3
>
> Red    East             5                  5            5
>
> Anyone knows how can I proceed the coding?
>
> _______________________________________________
> Pandas-dev mailing list
> Pandas-dev at python.org
> https://mail.python.org/mailman/listinfo/pandas-dev
>
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From jorisvandenbossche at gmail.com  Tue Dec 13 15:45:04 2022
From: jorisvandenbossche at gmail.com (Joris Van den Bossche)
Date: Tue, 13 Dec 2022 21:45:04 +0100
Subject: [Pandas-dev] December 2022 monthly community meeting (Wednesday
 December 14, UTC 18:00)
Message-ID: <CALQtMBYSwvLn9MO=i05egOpZ0yfZkGhcE67_7zAqZ1f_GfFq7w@mail.gmail.com>

Hi all,

A reminder that the next monthly dev call is tomorrow (Wednesday, December
14) at 18:00 UTC (12:00 central time). Our calendar is at
https://pandas.pydata.org/docs/development/meeting.html#calendar to check
your local time.

The pandas Community Meeting is a regular sync meeting for the project's
maintainers which is
open to the community. All are welcome to attend!

Video Call:
https://us06web.zoom.us/j/84484803210?pwd=TjUxNmcyNHcvcG9SNGJvbE53Y21GZz09
Meeting notes:
https://docs.google.com/document/u/1/d/1tGbTiYORHiSPgVMXawiweGJlBw5dOkVJLY-licoBmBU/edit?ouid=102771015311436394588&usp=docs_home&ths=true

Joris
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