diff numeric_clustering.xml @ 4:7c1794e0f9c2 draft default tip

planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit adf077b912ddebd97b07b947b855cdd2862ed8ef-dirty

--- a/numeric_clustering.xml	Fri Jan 01 13:14:03 2016 -0500
+++ b/numeric_clustering.xml	Fri Jan 01 18:00:23 2016 -0500
@@ -76,7 +76,7 @@
 import sklearn.cluster
 import pandas
 
-data = pandas.read_csv("$infile", sep='\t', header=0, index_col=0, parse_dates=True, encoding=None, tupleize_cols=False )
+data = pandas.read_csv("$infile", sep='\t', header=0, index_col=None, parse_dates=True, encoding=None, tupleize_cols=False )
 my_class = getattr(sklearn.cluster, "$algorithm_options.selected_algorithm")
 cluster_object = my_class()
 
@@ -93,8 +93,9 @@
 data_matrix = data.values
 #end if
 prediction = cluster_object.fit_predict( data_matrix )
-data[len(data.columns)] = prediction
-data.to_csv(path_or_buf = "$outfile", sep="\t")
+prediction_df = pandas.DataFrame(prediction)
+res = pandas.concat([data, prediction_df], axis=1)
+res.to_csv(path_or_buf = "$outfile", sep="\t", index=False)
 ]]>
         </configfile>
     </configfiles>
@@ -298,6 +299,7 @@
             <param name="end_column" value="4" />
             <param name="affinity" value="euclidean"/>
             <param name="linkage" value="average"/>
+            <param name="n_clusters" value="4"/>
             <output name="outfile" file="cluster_result10.txt"/>
         </test>
         <test>