BrechtDeMan@929: import sys
BrechtDeMan@929: import os
BrechtDeMan@929: import csv
BrechtDeMan@929: import matplotlib.pyplot as plt
BrechtDeMan@929: import numpy as np
BrechtDeMan@929: 
BrechtDeMan@929: rating_folder = 'ratings/' # folder with rating csv files
BrechtDeMan@929: show_individual = 'frank'
BrechtDeMan@929: 
BrechtDeMan@929: # get every csv file in folder
BrechtDeMan@929: for file in os.listdir(rating_folder): # You have to put this in folder where rating csv files are.
BrechtDeMan@929:     if file.endswith(".csv"):
BrechtDeMan@929:         page_name = file[:-4] # file name (without extension) is page ID
BrechtDeMan@929: 
BrechtDeMan@929:         # get header
BrechtDeMan@929:         with open(rating_folder+file, 'r') as readfile: # read this csv file
BrechtDeMan@929:             filereader = csv.reader(readfile, delimiter=',')
BrechtDeMan@929:             headerrow = filereader.next() # use headerrow as X-axis
BrechtDeMan@929:             headerrow = headerrow[1:]
BrechtDeMan@929: 
BrechtDeMan@929:         # read ratings into matrix
BrechtDeMan@929:         ratings = np.loadtxt(open(rating_folder+file,"rb"),
BrechtDeMan@929:                             delimiter=",",
BrechtDeMan@929:                             skiprows=1,
BrechtDeMan@929:                             usecols=range(1,len(headerrow)+1)
BrechtDeMan@929:                             )
BrechtDeMan@929: 
BrechtDeMan@929:         # draw boxplot
BrechtDeMan@929:         plt.boxplot(ratings)
BrechtDeMan@929: 
BrechtDeMan@929:         # add rating of individual(s)
BrechtDeMan@929:         with open(rating_folder+file, 'r') as readfile: # read this csv file
BrechtDeMan@929:             filereader = csv.reader(readfile, delimiter=',')
BrechtDeMan@929:             headerrow = filereader.next() # use headerrow as X-axis
BrechtDeMan@929:             headerrow = headerrow[1:]
BrechtDeMan@929:             markerlist = ["x", ".", "o", "*", "+", "v", ">", "<", "8", "s", "p"]
BrechtDeMan@929:             increment = 0
BrechtDeMan@929:             linehandles = []
BrechtDeMan@929:             legendnames = []
BrechtDeMan@929:             for row in filereader:
BrechtDeMan@929:                 subject_id = row[0][:-4]
BrechtDeMan@929:                 if subject_id in show_individual:
BrechtDeMan@929:                     plothandle, = plt.plot(range(1,len(row)), # x-values
BrechtDeMan@929:                              row[1:], # y-values: csv values except subject name
BrechtDeMan@929:                              color='k',
BrechtDeMan@929:                              marker=markerlist[increment%len(markerlist)],
BrechtDeMan@929:                              markersize=10,
BrechtDeMan@929:                              linestyle='None',
BrechtDeMan@929:                              label=subject_id
BrechtDeMan@929:                             )
BrechtDeMan@929:                     increment += 1 # increase counter
BrechtDeMan@929:                     linehandles.append(plothandle)
BrechtDeMan@929:                     legendnames.append(subject_id)
BrechtDeMan@929:                     plt.legend(linehandles, legendnames,
BrechtDeMan@929:                            loc='upper right',
BrechtDeMan@929:                            bbox_to_anchor=(1.1, 1), borderaxespad=0.)
BrechtDeMan@929: 
BrechtDeMan@929: 
BrechtDeMan@929:         plt.xlabel('Fragment')
BrechtDeMan@929:         plt.title('Box plot '+page_name)
BrechtDeMan@929:         plt.xlim(0, len(headerrow)+1) # only show relevant region, leave space left & right)
BrechtDeMan@929:         plt.xticks(range(1, len(headerrow)+1), headerrow) # show fragment names
BrechtDeMan@929: 
BrechtDeMan@929:         plt.ylabel('Rating')
BrechtDeMan@929:         plt.ylim(0,1)
BrechtDeMan@929: 
BrechtDeMan@929:         plt.show()
BrechtDeMan@929:         #exit()
BrechtDeMan@929: 
BrechtDeMan@929:         #TODO Save output automatically