Performance.py

# -*- coding: utf-8 -*-
__author__ = 'joko'

"""
@author:joko
@time: 16/11/8 下午2:52
"""
import lib.Utils as U


def data_marker(cpu, mem, h_cpu, h_mem, path):
    """

    :param cpu: cpu列表
    :param mem: 内存列表
    :param path: 存储的文件路径
    :return:
    """
    import matplotlib

    matplotlib.use('Agg')
    import pylab as pl
    pl.plot(cpu, 'r')
    pl.plot(mem, 'g')

    pl.title('performance')
    pl.xlabel('second')
    pl.ylabel('percent')

    pl.plot(cpu, color="red", linewidth=2.5, linestyle="-", label="this_cpu")
    pl.plot(mem, color="blue", linewidth=2.5, linestyle="-", label="this_mem")
    if h_mem is not None:
        pl.plot(
            h_cpu,
            color="magenta",
            linewidth=2.5,
            linestyle="-",
            label="historical_cpu")
        pl.plot(
            h_mem,
            color="green",
            linewidth=2.5,
            linestyle="-",
            label="historical_mem")
    pl.legend(loc='upper left')
    pl.xlim(0.0, len(mem))
    pl.ylim(0.0, 100.0)
    pl.savefig(path)
    U.Logging.debug('Report:%s' % path)
    # pl.show() #调出GUI实时查看
    pl.close()  # 必须关闭,不然值会在内存中不销毁

    # import matplotlib as mpl
    # print mpl.get_cachedir()


if __name__ == '__main__':
    import random

    def get_num():
        lst = []
        for i in range(10):
            lst.append(random.randint(1, 60))

        return lst

    for i in range(1):
        data_marker(get_num(), get_num(), get_num(), get_num(), '%s.png' % i)
        cpu_list = []
        mem_list = []