percentile_graph.py

from collections import OrderedDict, Counter

import matplotlib.pylab as plt

def general_percentage_graph(data, xaxis=None, yaxis=None, filename=None) -> None:
    plt.clf()

    thresholds = Counter(data)
    sorted_map = OrderedDict(sorted(thresholds.items()))
    lists = sorted_map.items()
    if len(lists) == 0:
        return
    x, y = zip(*lists)

    # convert to percentages: value / total which will be between 0 and 1,
    # multiply by 100 to make a percentage
    tot = sum(y)
    y = [(tmp / tot) * 100 for tmp in y]

    plt.plot(x, y)
    if xaxis:
        plt.xlabel(xaxis)
    if yaxis:
        plt.ylabel(yaxis)
    if filename:
        plt.savefig(filename, format='eps', dpi=500)
    else:
        plt.show()