# HG changeset patch
# User Brecht De Man <b.deman@qmul.ac.uk>
# Date 1433091793 -3600
# Node ID c5f6608e0b16023abd3da7f0f1763746ca0124c1
# Parent  927d05a43a703db97d5693797327c79cb77b7e92
Score plotting: plot of individual scores and box plot (with optional overlay of selected individual ratings). Uses CSV files as produced by 'score_boxplot.py'.

diff -r 927d05a43a70 -r c5f6608e0b16 scripts/score_boxplot.py
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/scripts/score_boxplot.py	Sun May 31 18:03:13 2015 +0100
@@ -0,0 +1,70 @@
+import sys
+import os
+import csv
+import matplotlib.pyplot as plt
+import numpy as np
+
+rating_folder = 'ratings/' # folder with rating csv files
+show_individual = 'frank'
+
+# get every csv file in folder
+for file in os.listdir(rating_folder): # You have to put this in folder where rating csv files are.
+    if file.endswith(".csv"):
+        page_name = file[:-4] # file name (without extension) is page ID
+
+        # get header
+        with open(rating_folder+file, 'r') as readfile: # read this csv file
+            filereader = csv.reader(readfile, delimiter=',')
+            headerrow = filereader.next() # use headerrow as X-axis
+            headerrow = headerrow[1:]
+
+        # read ratings into matrix
+        ratings = np.loadtxt(open(rating_folder+file,"rb"),
+                            delimiter=",",
+                            skiprows=1,
+                            usecols=range(1,len(headerrow)+1)
+                            )
+
+        # draw boxplot
+        plt.boxplot(ratings)
+
+        # add rating of individual(s)
+        with open(rating_folder+file, 'r') as readfile: # read this csv file
+            filereader = csv.reader(readfile, delimiter=',')
+            headerrow = filereader.next() # use headerrow as X-axis
+            headerrow = headerrow[1:]
+            markerlist = ["x", ".", "o", "*", "+", "v", ">", "<", "8", "s", "p"]
+            increment = 0
+            linehandles = []
+            legendnames = []
+            for row in filereader:
+                subject_id = row[0][:-4]
+                if subject_id in show_individual:
+                    plothandle, = plt.plot(range(1,len(row)), # x-values
+                             row[1:], # y-values: csv values except subject name
+                             color='k',
+                             marker=markerlist[increment%len(markerlist)],
+                             markersize=10,
+                             linestyle='None',
+                             label=subject_id
+                            )
+                    increment += 1 # increase counter
+                    linehandles.append(plothandle)
+                    legendnames.append(subject_id)
+                    plt.legend(linehandles, legendnames,
+                           loc='upper right',
+                           bbox_to_anchor=(1.1, 1), borderaxespad=0.)
+
+
+        plt.xlabel('Fragment')
+        plt.title('Box plot '+page_name)
+        plt.xlim(0, len(headerrow)+1) # only show relevant region, leave space left & right)
+        plt.xticks(range(1, len(headerrow)+1), headerrow) # show fragment names
+
+        plt.ylabel('Rating')
+        plt.ylim(0,1)
+
+        plt.show()
+        #exit()
+
+        #TODO Save output automatically
\ No newline at end of file
diff -r 927d05a43a70 -r c5f6608e0b16 scripts/score_individual.py
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/scripts/score_individual.py	Sun May 31 18:03:13 2015 +0100
@@ -0,0 +1,58 @@
+import sys
+import os
+import csv
+import matplotlib.pyplot as plt
+
+rating_folder = 'ratings/' # folder with rating csv files
+
+colormap = ['b', 'r', 'g', 'c', 'm', 'y', 'k'] # colormap for to cycle through
+markerlist = ["x", ".", "o", "*", "+", "v", ">", "<", "8", "s", "p"]
+
+# get every csv file in folder
+for file in os.listdir(rating_folder): # You have to put this in folder where rating csv files are.
+    if file.endswith(".csv"):
+        page_name = file[:-4] # file name (without extension) is page ID
+
+        with open(rating_folder+file, 'r') as readfile: # read this csv file
+            filereader = csv.reader(readfile, delimiter=',')
+            headerrow = filereader.next() # use headerrow as X-axis
+            headerrow = headerrow[1:]
+
+
+            increment = 0
+            linehandles = []
+            legendnames = []
+            for row in filereader:
+                subject_id = row[0][:-4]
+                plothandle, = plt.plot(range(1,len(row)), # x-values
+                         row[1:], # y-values: csv values except subject name
+                         color=colormap[increment%len(colormap)],
+                         marker=markerlist[increment%len(markerlist)],
+                         markersize=10,
+                         linestyle='None',
+                         label=subject_id
+                        )
+                increment += 1 # increase counter
+                linehandles.append(plothandle)
+                legendnames.append(subject_id)
+
+
+            plt.xlabel('Fragment')
+            plt.title('Individual ratings '+page_name)
+            plt.xlim(0, len(headerrow)+1) # only show relevant region, leave space left & right)
+            plt.xticks(range(1, len(headerrow)+1), headerrow) # show fragment names
+
+            plt.ylabel('Rating')
+            plt.ylim(0,1)
+
+            plt.legend(linehandles, legendnames,
+                       loc='upper right',
+                       bbox_to_anchor=(1.1, 1), borderaxespad=0.)
+
+            #TODO Put legend outside of box
+            #TODO Why two markers in legend?
+
+            plt.show()
+            #exit()
+
+            #TODO Save output automatically
\ No newline at end of file