# HG changeset patch
# User mb2013
# Date 1400500275 14400
# Node ID 6f86f68d2904851c8d4a01080b2913014a7668e3
# Parent  1484ee3d947dc08a9a810d8ddee3e975a1adb985
Deleted selected files

diff -r 1484ee3d947d -r 6f86f68d2904 convert_multiple_dta_to_csv.py
--- a/convert_multiple_dta_to_csv.py	Wed Nov 20 03:54:05 2013 -0500
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,46 +0,0 @@
-#Converter of multiple dta files to one csv
-#M.Baak
-#13-11-2013
-#last update: 13-11-2013
-
-import sys
-import os
-
-
-file_outputname = sys.argv[1]
-file_outputname2 = sys.argv[2]
-file_name = sys.argv[3:]
-
-def convert_dta(file_name,file_outputname,file_outputname2):
-    output = open(file_outputname,'w') #output file
-    output2 = open(file_outputname2, 'w')
-    
-    for x in range(0,len(file_name)):
-        read_file = open(file_name[x], 'r') #open file
-    	a = len(read_file.readlines())
-    	read_file2 = open(file_name[x], 'r') # open file second time
-    
-
-    	numberlandmarks = 0
-    	header = "" 
-
-        #for loop, coordinates, number of landmarks and name of sample will be stored in csv format
-        for x in range(0,a):
-            b = read_file2.readline().strip()
-            split_tabs = b.split('  ')
-            number_columns = len(split_tabs)
-            if x == 0:
-                header += b.replace(' ', '_')     #name of sample     
-            if number_columns == 3: #coordinates
-                output.write("%f,%f,%f\n"%(float(split_tabs[0]),float(split_tabs[1]),float(split_tabs[2])))
-                numberlandmarks += 1 # number of landmarks
-
-        output2.write("%s\n"%(header[1:-4])) # writing header to output file
-
-    output.close()
-
-convert_dta(file_name,file_outputname,file_outputname2)
-            
-
-            
-
diff -r 1484ee3d947d -r 6f86f68d2904 convert_multiple_dta_to_csv.xml
--- a/convert_multiple_dta_to_csv.xml	Wed Nov 20 03:54:05 2013 -0500
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,28 +0,0 @@
-<tool id="dtaConverter2" name="dtaConverter2">
-    <description>convert multiple dta files to one csv file</description>
-    <command interpreter="python">
-        convert_multiple_dta_to_csv.py
-        $output
-        $output2
-        $input1
-        #for $q in $queries
-            ${q.input2}
-        #end for
-    </command>
-    <inputs>
-        <param name="input1" type="data" label="Convert dta"/>
-        <repeat name="queries" title="Dataset">
-            <param name="input2" type="data" label="Select" />
-        </repeat>
-    </inputs>
-    <outputs>
-        <data format="csv" name="output" />
-        <data format="csv" name="output2" />
-    </outputs>
-
-  
-  <help>
-convert dta to csv
-  </help>
-
-</tool>