Mercurial > repos > bgruening > sklearn_numeric_clustering
diff numeric_clustering.xml @ 31:83938131dd46 draft
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
| author | bgruening |
|---|---|
| date | Mon, 16 Dec 2019 05:44:48 -0500 |
| parents | 37e193b3fdd7 |
| children | 816b65d52c33 |
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--- a/numeric_clustering.xml Thu Nov 07 05:46:52 2019 -0500 +++ b/numeric_clustering.xml Mon Dec 16 05:44:48 2019 -0500 @@ -45,7 +45,7 @@ #if $input_types.selected_input_type == "sparse": data_matrix = mmread("$infile") #else: -data = pandas.read_csv("$infile", sep='\t', header=0, index_col=None, parse_dates=True, encoding=None, tupleize_cols=False ) +data = pandas.read_csv("$infile", sep='\t', header=0, index_col=None, parse_dates=True, encoding=None) header = 'infer' if params["input_types"]["header"] else None column_option = params["input_types"]["column_selector_options"]["selected_column_selector_option"] if column_option in ["by_index_number", "all_but_by_index_number", "by_header_name", "all_but_by_header_name"]: @@ -59,8 +59,7 @@ sep='\t', header=header, parse_dates=True, - encoding=None, - tupleize_cols=False) + encoding=None) #end if prediction = cluster_object.fit_predict( data_matrix )