n@921: import sys
n@921: import os
n@921: import csv
n@921: import matplotlib.pyplot as plt
n@921: import numpy as np
n@921: 
n@921: rating_folder = 'ratings/' # folder with rating csv files
n@921: show_individual = 'frank'
n@921: 
n@921: # get every csv file in folder
n@921: for file in os.listdir(rating_folder): # You have to put this in folder where rating csv files are.
n@921:     if file.endswith(".csv"):
n@921:         page_name = file[:-4] # file name (without extension) is page ID
n@921: 
n@921:         # get header
n@921:         with open(rating_folder+file, 'r') as readfile: # read this csv file
n@921:             filereader = csv.reader(readfile, delimiter=',')
n@921:             headerrow = filereader.next() # use headerrow as X-axis
n@921:             headerrow = headerrow[1:]
n@921: 
n@921:         # read ratings into matrix
n@921:         ratings = np.loadtxt(open(rating_folder+file,"rb"),
n@921:                             delimiter=",",
n@921:                             skiprows=1,
n@921:                             usecols=range(1,len(headerrow)+1)
n@921:                             )
n@921: 
n@921:         # draw boxplot
n@921:         plt.boxplot(ratings)
n@921: 
n@921:         # add rating of individual(s)
n@921:         with open(rating_folder+file, 'r') as readfile: # read this csv file
n@921:             filereader = csv.reader(readfile, delimiter=',')
n@921:             headerrow = filereader.next() # use headerrow as X-axis
n@921:             headerrow = headerrow[1:]
n@921:             markerlist = ["x", ".", "o", "*", "+", "v", ">", "<", "8", "s", "p"]
n@921:             increment = 0
n@921:             linehandles = []
n@921:             legendnames = []
n@921:             for row in filereader:
n@921:                 subject_id = row[0][:-4]
n@921:                 if subject_id in show_individual:
n@921:                     plothandle, = plt.plot(range(1,len(row)), # x-values
n@921:                              row[1:], # y-values: csv values except subject name
n@921:                              color='k',
n@921:                              marker=markerlist[increment%len(markerlist)],
n@921:                              markersize=10,
n@921:                              linestyle='None',
n@921:                              label=subject_id
n@921:                             )
n@921:                     increment += 1 # increase counter
n@921:                     linehandles.append(plothandle)
n@921:                     legendnames.append(subject_id)
n@921:                     plt.legend(linehandles, legendnames,
n@921:                            loc='upper right',
n@921:                            bbox_to_anchor=(1.1, 1), borderaxespad=0.)
n@921: 
n@921: 
n@921:         plt.xlabel('Fragment')
n@921:         plt.title('Box plot '+page_name)
n@921:         plt.xlim(0, len(headerrow)+1) # only show relevant region, leave space left & right)
n@921:         plt.xticks(range(1, len(headerrow)+1), headerrow) # show fragment names
n@921: 
n@921:         plt.ylabel('Rating')
n@921:         plt.ylim(0,1)
n@921: 
n@921:         plt.show()
n@921:         #exit()
n@921: 
n@921:         #TODO Save output automatically
n@921: