view join.xml @ 0:31442b046269 draft default tip

"planemo upload for repository https://github.com/shenwei356/csvtk commit 3a97e1b79bf0c6cdd37d5c8fb497b85531a563ab"

<tool id="csvtk_join" name="csvtk-join" version="@VERSION@+@GALAXY_VERSION@">
    <description>tables by column(s)</description>
    <macros>
        <import>macros.xml</import>
    </macros>
    <expand macro="requirements" />
    <expand macro="version_cmd" />
    <command detect_errors="exit_code"><![CDATA[

###################
## Start Command ##
###################
csvtk join --num-cpus "\${GALAXY_SLOTS:-1}"

    ## Add additional flags as specified ##
    #######################################
    $ignore_case
    $global_param.illegal_rows
    $global_param.empty_rows
    $global_param.header
    $global_param.lazy_quotes

    ## Set Tabular input/output flag if first input is tabular ##
    #############################################################
    #if $in_1[0].is_of_type("tabular"):
        -t -T
    #end if

    ## Set input files ##
    #####################
    #for $file in $in_1:
        '$file'
    #end for

    ## Specify fields to join ##
    ############################
    -F -f '$column_text.in_text'
    
    ## Fill columns if wanted ##
    ############################
    #if $unmatched.wanted == 'yes':
        #if $unmatched.join_type == 'outer'
            -O
        #else
            -L
        #end if
        --na '$unmatched.fill_value'
    #end if
    
    ## To output ##
    ###############
    > joined

    ]]></command>
    <inputs>
        <expand macro="multi_input"/>
        <expand macro="fields_input"/>
        <conditional name="unmatched" >
            <param type="select" name="wanted"
                label="Keep Unmatched Columns?"
                help="Include unmatched columns in output results?"
                >
                <option value="no">No</option>
                <option value="yes">Yes</option>
            </param>
            <when value="no" />
            <when value="yes">
                <param type="select" name="join_type"
                    label="Type of Join"
                    >
                    <option value="left">Left (Standard)</option>
                    <option value="outer">Outer</option>
                </param>
                <param type="text" name="fill_value"
                    argument="--na"
                    label="What to fill unmatched columns with"
                    help="Specify value to fill into all of the columns with no data">
                    <expand macro="text_sanitizer" />
                </param>
            </when>
        </conditional>
        <expand macro="ignore_case" />
        <expand macro="global_parameters" />
    </inputs>
    <outputs>
        <data format_source="in_1" name="joined" from_work_dir="joined" label="${in_1[0].name} joined by column ${column_text.in_text}" />
    </outputs>
    <tests>
        <test>
            <param name="in_1" value="csv.csv,data.csv" />
            <conditional name="column_text">
                <param name="select" value="string" />
                <param name="in_text" value="Person" />
            </conditional>
            <conditional name="unmatched" >
                <param name="wanted" value="no" />
            </conditional>
            <output name="joined" file="joined.csv" ftype="csv" />
        </test>
        <test>
            <param name="in_1" value="csv.csv,data.csv" />
            <conditional name="column_text">
                <param name="select" value="string" />
                <param name="in_text" value="Person" />
            </conditional>
            <conditional name="unmatched" >
                <param name="wanted" value="yes" />
                <param name="join_type" value="outer" />
                <param name="fill_value" value="a" />
            </conditional>
            <param name="ignore_case" value="false" />
            <output name="joined" file="joined_filled.csv" ftype="csv" compare="sim_size" delta="10"/>
        </test>
    </tests>
    <help><![CDATA[
    
Csvtk - Join Help
-----------------

Info
####
Csvtk-Join is used to join two or more csv/tsv files together by either a column number or a column key/name.
It will join together the columns that have a matching value and create an output csv/tsv file (depending upon input file type).

Columns that are not matching will be discarded unless 'Keep Unmatched Columns' is set to 'Yes'

.. class:: warningmark

    Single quotes are not allowed in text inputs!

@HELP_INPUT_DATA@


Usage
#####

**Ex. Joining based on column 1:**

::

    +------+--------+----------+           +----------+----------+----------+
    | Name | Colour | Food     |           | Username | Sport    | Column 3 |
    +======+========+==========+           +==========+==========+==========+
    | Joe  | Red    | Pancakes |     +     | Joe      | Swimming | Yes      |
    +------+--------+----------+           +----------+----------+----------+
    | John | Green  | Potatos  |           | Gary     | Biking   | Yes      |
    +------+--------+----------+           +----------+----------+----------+

    -------------------------------------------------------------------------

    We would get the following table:

    +------+--------+----------+----------+----------+
    | Name | Colour | Food     | Sport    | Column 3 |
    +======+========+==========+==========+==========+
    | Joe  | Red    | Pancakes | Swimming | Yes      |
    +------+--------+----------+----------+----------+

    If we kept unmatched columns and filled them with 'NA', the following would be the output:

    +------+--------+----------+----------+----------+----------+
    | Name | Colour | Food     | Username | Sport    | Column 3 |
    +======+========+==========+==========+==========+==========+
    | Joe  | Red    | Pancakes | Joe      | Swimming | Yes      |
    +------+--------+----------+----------+----------+----------+
    | John | Green  | Potatos  | NA       | NA       | NA       |
    +------+--------+----------+----------+----------+----------+
    | NA   | NA     | NA       | Gary     | Biking   | Yes      |
    +------+--------+----------+----------+----------+----------+

----

**Ex. Joining based on the column named "Name":**

::

    Here, we use the column header name as a way to match up the columns. This is especially useful if the wanted
    column has the same name but is not located in the same location as seen below.

    Matching on the "Name" column would look as such:

    +------+--------+----------+       +------+----------+----------+       +----------+------+----------+----------+
    | Name | Colour | Food     |       | Name | Sport    | Column 3 |       | Column 4 | Name | Column 5 | Column 6 |
    +======+========+==========+   +   +======+==========+==========+   +   +==========+======+==========+==========+
    | Joe  | Red    | Pancakes |       | Joe  | Swimming | Yes      |       | Yes      | Joe  | Yes      | Yes      |
    +------+--------+----------+       +------+----------+----------+       +----------+------+----------+----------+
    | John | Green  | Potatos  |
    +------+--------+----------+       

    -----------------------------------------------------------------------------------------------------------------

    Would give the following table:

    +------+--------+----------+----------+----------+----------+----------+----------+
    | Name | Colour | Food     | Sport    | Column 3 | Column 4 | Column 5 | Column 6 |
    +======+========+==========+==========+==========+==========+==========+==========+
    | Joe  | Red    | Pancakes | Swimming | Yes      | Yes      | Yes      | Yes      |
    +------+--------+----------+----------+----------+----------+----------+----------+

----

**Ex. Matching data in multiple columns:**

::

    If using multiple columns, the values that are found to be the same in both columns will be put in the output.
    If only one matches, or neither matches, then that row is not included in the output

    The following would occur using column names as "Name,Column 3"

    +------+----------+----------+           +----------+------+----------+           
    | Name | Sport    | Column 3 |           | Column 4 | Name | Column 3 |
    +======+==========+==========+           +==========+======+==========+
    | Joe  | Swimming | Yes      |     +     | Yes      | Joe  | Yes      |
    +------+----------+----------+           +----------+------+----------+
    | Jake | Track    | No       |           | Yes      | Jake | Yes      |
    +------+----------+----------+           +----------+------+----------+

    -----------------------------------------------------------------------

    Would Yield:

    +------+----------+----------+----------+
    | Name | Sport    | Column 3 | Column 4 |
    +======+==========+==========+==========+
    | Joe  | Swimming | Yes      | Yes      |
    +------+----------+----------+----------+

----

@HELP_COLUMNS@


@HELP_END_STATEMENT@


    ]]></help>
    <expand macro="citations" />
</tool>