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Enhanced grouping tool to use columnlist tool parameter.

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This commit is contained in:
Greg Von Kuster
2007-09-18 20:31:09 +00:00
parent 18e2c28a45
commit f27c590190
2 changed files with 13 additions and 26 deletions
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tools/stats/grouping.xml
+13 -18
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@@ -11,22 +11,18 @@
#end for
</command>
<inputs>
<page>
<param format="tabular" name="input1" type="data" label="Select data" help="Query missing? See TIP below."/>
</page>
<page>
<param name="groupcol" label="Group by column" type="select" dynamic_options="get_columns( input1 )" />
<repeat name="operations" title="Operation">
<param name="optype" type="select" label="Type">
<option value="mean">Mean</option>
<option value="max">Maximum</option>
<option value="min">Minimum</option>
<option value="sum">Sum</option>
<option value="c">Concatenate</option>
</param>
<param name="opcol" label="On column" type="select" dynamic_options="get_columns( input1 )" />
</repeat>
</page>
<param format="tabular" name="input1" type="data" label="Select data" refresh_on_change="True" help="Query missing? See TIP below."/>
<param name="groupcol" label="Group by column" type="columnlist" assoc_dataset="input1" />
<repeat name="operations" title="Operation">
<param name="optype" type="select" label="Type">
<option value="mean">Mean</option>
<option value="max">Maximum</option>
<option value="min">Minimum</option>
<option value="sum">Sum</option>
<option value="c">Concatenate</option>
</param>
<param name="opcol" label="On numerical column" type="columnlist" assoc_dataset="input1" />
</repeat>
</inputs>
<outputs>
<data format="input" name="out_file1" metadata_source="input1" />
@@ -82,6 +78,5 @@ This tool allows you to group the input dataset by a particular column and perfo
chr10 1700.00 ['NM_11', 'NM_10']
chr22 1533.33 ['NM_17', 'NM_19', 'NM_18']
</help>
<code file="grouping_code.py" />
</help>
</tool>
tools/stats/grouping_code.py
-8
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@@ -1,8 +0,0 @@
def get_columns( input1 ):
columns = []
for col in range(1, input1.metadata.columns+1):
option = "c" + str(col)
columns.append((option,str(col),False))
return columns