cartconverter.py 文件源码

def degreetocart(data_f1):

    global df2
    df2 = data_f1.copy()
    print "phase 1"

    df2['X'] = np.nan
    df2['Y'] = np.nan
    df2['Z'] = np.nan
    df2 = df2.astype(float)

    print "phase 2"
    num_cores = multiprocessing.cpu_count()


    results_x = Parallel(n_jobs=num_cores)(delayed(xloop)(i) for i in xrange(0,len(df2)))
    print "phase 3"
    #print results_x

    #print results_x

    #print " this is "
    #print results_x[0]

    results_y = Parallel(n_jobs=num_cores)(delayed(yloop)(i) for i in xrange(0,len(df2)))
    print "phase 4"
    results_z = Parallel(n_jobs=num_cores)(delayed(zloop)(i) for i in xrange(0,len(df2)))
    print "phase 5"
    #print results_y



    #Parallel(n_jobs=num_cores)(delayed(adjloop)(i) for i in xrange(0,len(df2)))
    for i in xrange(0,len(df2)):
        print i
        df2['X'][i] = results_x[i]
        df2['Y'][i] = results_y[i]
        df2['Z'][i] = results_z[i]