plots_and_stats.py 文件源码

def meansOfMeans(datafile):

    df = pd.read_csv(datafile, delimiter=",")
    df = df.loc[df["swapsEager"]>0]
    grouped = df.groupby("words", as_index=True)
    idx = grouped.groups.keys()

    all_means=grouped.mean()
    mean_of_means = all_means.mean()
    std_of_means = all_means.std()

    #Print in latex format:
    print "& Average number of swaps & Average jump size \\\\"
    print "\hline"
    for laziness in ("Eager", "Lazy", "Lazier"):
        print "{} & {}({}) & {}({})\\\\".format(laziness, \
                                                mean_of_means["swaps%s"%laziness], \
                                                std_of_means["swaps%s"%laziness], \
                                                mean_of_means["avgAltBlockSize%s"%laziness], \
                                                std_of_means["avgAltBlockSize%s"%laziness])