# HG changeset patch
# User devteam
# Date 1406562982 14400
# Node ID c12b0759203b682e4c6c8b5a675d3ee1bd6ed5c2
Imported from capsule None
diff -r 000000000000 -r c12b0759203b scatterplot.png
Binary file scatterplot.png has changed
diff -r 000000000000 -r c12b0759203b scatterplot.py
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/scatterplot.py Mon Jul 28 11:56:22 2014 -0400
@@ -0,0 +1,79 @@
+#!/usr/bin/env python
+#Greg Von Kuster
+
+import sys
+from rpy import *
+
+def stop_err(msg):
+ sys.stderr.write(msg)
+ sys.exit()
+
+def main():
+
+ in_fname = sys.argv[1]
+ out_fname = sys.argv[2]
+ try:
+ columns = int( sys.argv[3] ) - 1, int( sys.argv[4] ) - 1
+ except:
+ stop_err( "Columns not specified, your query does not contain a column of numerical data." )
+ title = sys.argv[5]
+ xlab = sys.argv[6]
+ ylab = sys.argv[7]
+
+ matrix = []
+ skipped_lines = 0
+ first_invalid_line = 0
+ invalid_value = ''
+ invalid_column = 0
+ i = 0
+ for i, line in enumerate( file( in_fname ) ):
+ valid = True
+ line = line.rstrip( '\r\n' )
+ if line and not line.startswith( '#' ):
+ row = []
+ fields = line.split( "\t" )
+ for column in columns:
+ try:
+ val = fields[column]
+ if val.lower() == "na":
+ row.append( float( "nan" ) )
+ else:
+ row.append( float( fields[column] ) )
+ except:
+ valid = False
+ skipped_lines += 1
+ if not first_invalid_line:
+ first_invalid_line = i + 1
+ try:
+ invalid_value = fields[column]
+ except:
+ invalid_value = ''
+ invalid_column = column + 1
+ break
+ else:
+ valid = False
+ skipped_lines += 1
+ if not first_invalid_line:
+ first_invalid_line = i+1
+
+ if valid:
+ matrix.append( row )
+
+ if skipped_lines < i:
+ try:
+ r.pdf( out_fname, 8, 8 )
+ r.plot( array( matrix ), type="p", main=title, xlab=xlab, ylab=ylab, col="blue", pch=19 )
+ r.dev_off()
+ except Exception, exc:
+ stop_err( "%s" %str( exc ) )
+ else:
+ stop_err( "All values in both columns %s and %s are non-numeric or empty." % ( sys.argv[3], sys.argv[4] ) )
+
+ print "Scatter plot on columns %s, %s. " % ( sys.argv[3], sys.argv[4] )
+ if skipped_lines > 0:
+ print "Skipped %d lines starting with line #%d, value '%s' in column %d is not numeric." % ( skipped_lines, first_invalid_line, invalid_value, invalid_column )
+
+ r.quit( save="no" )
+
+if __name__ == "__main__":
+ main()
diff -r 000000000000 -r c12b0759203b scatterplot.xml
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/scatterplot.xml Mon Jul 28 11:56:22 2014 -0400
@@ -0,0 +1,71 @@
+
+ of two numeric columns
+
+ rpy
+
+ scatterplot.py $input $out_file1 $col1 $col2 "$title" "$xlab" "$ylab"
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+.. class:: infomark
+
+**TIP:** If your data is not TAB delimited, use *Text Manipulation->Convert*
+
+-----
+
+**Syntax**
+
+This tool creates a simple scatter plot between two variables containing numeric values of a selected dataset.
+
+- All invalid, blank and comment lines in the dataset are skipped. The number of skipped lines is displayed in the resulting history item.
+
+- **Plot title** The scatterplot title
+- **Label for x axis** and **Label for y axis** The labels for x and y axis of the scatterplot.
+
+-----
+
+**Example**
+
+- Input file::
+
+ 1 68 4.1
+ 2 71 4.6
+ 3 62 3.8
+ 4 75 4.4
+ 5 58 3.2
+ 6 60 3.1
+ 7 67 3.8
+ 8 68 4.1
+ 9 71 4.3
+ 10 69 3.7
+
+- Create a simple scatterplot between the variables in column 2 and column 3 of the above dataset.
+
+.. image:: scatterplot.png
+
+
+
diff -r 000000000000 -r c12b0759203b test-data/scatterplot_in1.tabular
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/scatterplot_in1.tabular Mon Jul 28 11:56:22 2014 -0400
@@ -0,0 +1,10 @@
+1 68 4.1
+2 71 4.6
+3 62 3.8
+4 75 4.4
+5 58 3.2
+6 60 3.1
+7 67 3.8
+8 68 4.1
+9 71 4.3
+10 69 3.7
diff -r 000000000000 -r c12b0759203b test-data/scatterplot_out1.pdf
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/scatterplot_out1.pdf Mon Jul 28 11:56:22 2014 -0400
@@ -0,0 +1,169 @@
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diff -r 000000000000 -r c12b0759203b tool_dependencies.xml
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/tool_dependencies.xml Mon Jul 28 11:56:22 2014 -0400
@@ -0,0 +1,6 @@
+
+
+
+
+
+