具体代码:
# encoding: utf-8 # coding = utf-8 import sys reload(sys) sys.setdefaultencoding('utf8') from matplotlib.font_manager import FontProperties import numpy as np import matplotlib.pyplot as plt import matplotlib as mpl import matplotlib print ( matplotlib.matplotlib_fname() ) #mpl.rcParams['font.family'] = 'sans-serif' #mpl.rcParams['font.sans-serif'] = [u'Simsun'] #mpl.rcParams['axes.unicode_minus'] = False font = FontProperties(fname=r"/Users/zhao/anaconda2/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/Songti.ttc") #font = {'family' : 'SimSun' } #mpl.rc('font', **font) str ="" FIFO_y = [] LRU_y = [] OPT_y = [] try: f = open( "FIFO.txt","r") str = f.read() finally : if f : f.close() FIFO_ty = str.split() FIFO_y = [ float(i) for i in FIFO_ty ] print(type(FIFO_y[0])) try: f = open( "LRU.txt","r") str = f.read() finally : if f : f.close() LRU_ty = (str.split()) LRU_y = [ float(i) for i in LRU_ty ] try: f = open( "OPT.txt","r") str = f.read() finally : if f : f.close() OPT_ty = (str.split()) OPT_y = [ float(i) for i in OPT_ty ] print( FIFO_y ) print( LRU_y ) print( OPT_y ) X = np.arange ( 1,101,1) FIFO_Y = np.array( FIFO_y ) LRU_Y = np.array( LRU_y ) OPT_Y = np.array( OPT_y ) plt.title( " Performance comparison of three different page replacement algorithms ",fontproperties=font,fontsize = 14) plt.xlabel( " Memory Capacity ",fontproperties=font,fontsize = 14 ) plt.ylabel( " Hit Rate ",fontproperties=font,fontsize = 14) plt.ylim( 0,101 ) plt.xlim( 0,101 ) #plt.plot ( X , FIFO_Y ) plt.plot( X , FIFO_Y,color = "red" ,label = " FIFO ",linestyle="-.") plt.plot( X , LRU_Y ,color = "blue",label = " LRU ",linestyle=":") plt.plot( X,OPT_Y ,color = "cyan",label = " OPT ") plt.legend( ['FIFO','LRU','OPT'] ) plt.savefig("Rate.png") plt.show()
实际效果:
来源:https://www.cnblogs.com/Osea/p/11049827.html