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
line wrap: on
line diff
--- 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 )