<tool id="pdaug_merge_dataframes" name="PDAUG Merge Dataframes" version="0.1.0" python_template_version="3.5">

	<description>Merge two data frames</description>

    <requirements>
      <requirement version="0.24.2" type="package" >pandas </requirement>
    </requirements>


    <command detect_errors="exit_code"><![CDATA[
        python $__tool_directory__/PDAUG_Merge_Dataframes.py '$input1' '$output1'
    ]]></command>
    <inputs>
        <param type="data" name="input1" label="Input files" format="tabular" multiple="true" help="Input tabular data files"/>
    </inputs>
    <outputs>
        <data name='output1' label="${tool.name} on $on_string - (tabular)" format='tabular' />
    </outputs>
    <tests>
        <test>
            <param name="input1" value="1.tsv,2.tsv,3.tsv,4.tsv,5.tsv,6.tsv"/>
            <output name="output1" file="out.tsv" />
        </test>
    </tests>
    <help><![CDATA[
.. class:: infomark

**What it does**

This tool merges two data frames.

-----

**Inputs**
    * Tabular data file (example input1.tsv and input2.tsv ).

-----

**Outputs**
    * Returns merged tabular data file.


]]></help>
<citations>
  <citation type="bibtex">

  @misc{PDAUGGITHUB, 
    author = {Joshi, Jayadev  and Blankenberg, Daniel}, 
    year = {2020}, 
    title ={PDAUG - a Galaxy based toolset for peptide library analysis, visualization, and machine learning modeling}, 
    publisher = {GitHub}, 
    journal = {GitHub repository}, 
    url =
    {https://github.com/jaidevjoshi83/pdaug.git}, 

}</citation>
</citations>

</tool>