コード例 #1
0
def solvedp_by_roomset(pssa,name_to_value,name, xname, xdomain=None):
    ''' pssa : PssAnalyzer
        name_to_value : function converts agent name to numerical value
    '''
    pylab.axvline(ymin=0, ymax=100)
    if xdomain != None:
        pylab.axhline(xmin=xdomain[0],xmax=xdomain[1])
    for roomset_name in rooomsets_names:
        #filtered pssa
        filtered_pssa = pssa.select(".*", roomset_pattern=roomset_name)
        # list [(agent name, percent),...]
        list = filtered_pssa.solved_percent()
        
        print_list(list)
        width_vs_solved = [(name_to_value(n), p) for n,p in list ]
        #print_list(width_vs_solved);exit()
        #table [(20,80%),(40,90%),...]
        #xmin= min(zip(*width_vs_solved)[0])
        
        
        width_vs_solved_table = do_by_key(sorted, width_vs_solved, 1, reverse=True ) 
        #vectors [[20,40,...],[80%,90%]]
        width_vs_solved_vectors = zip(*sorted(width_vs_solved))
        x,y = width_vs_solved_vectors
        print width_vs_solved_vectors
        xplot.html.plot( ((xname, x),(' % solved', y)), title=name, label = roomset_name )
        for row in width_vs_solved:
            pylab.axvline(row[0],0,row[1],linestyle='--',color='b' )
        xplot.html.add_table(width_vs_solved_table, name + " " + roomset_name, header=[name,"%solved"])
    # end
    fname = name + xname + ".png"
    xplot.html.add_img_plot(fname)
    pylab.figure()
コード例 #2
0
def solved_percent():
    pssa = analyzer.PssAnalyzer()
    folder = os.path.join(os.getcwd(),"run_files")
    folder = os.path.join(folder,"uniqes")
    
    pssa.appent_pattern(folder, ".*beam.*")
    
    for rsn in rooomsets_names:
        rp = pssa.select("A", roomset_pattern=rsn)
        sp = rp.solved_percent_ext()
        sp = do_by_key(sorted, sp, 1)
        print rsn
        table_report(sp)