用matplotlib的pylab画图

#coding=utf-8

from pylab import *
from datetime import datetime, timedelta #必须在pylab的import后面,覆盖pylab的datetime,否则会被覆盖
import matplotlib.dates as mdate

import pyExcelerator
import cPickle
from config import *


mpl.rcParams['font.sans-serif'] = ['SimHei']

ss = ['b-','y-','r--','y--','g-','k+-','g--','r-','k-','r+-','k:','g:','b--','g+-','r*-','k*-']

zero = datetime(1899,12,30)

f=open('pages','rb')
pages = cPickle.load(f)


for km in kms:
    for dtu in km.dtus:
        for position in dtu.ps:
            style = 0
            for tm in position.t_modules:
                for sensor in tm.sensors:
                    try: datas = pages[(dtu.n,tm.n,sensor.p)]
                    except KeyError: print (dtu.n,tm.n,sensor.p),u'缺少数据'
                    datas.sort()
                    xs = map(lambda i:zero+timedelta(days=i[0]),datas)
                    ys = map(lambda i:i[1],datas)
                    ax = gca()
                    ax.plot_date(xs, ys, ss[style],linewidth=0.5,label=u'%sm深' %sensor.deep)
                    style += 1
            ax.xaxis.set_major_formatter(mdate.DateFormatter('%y-%m-%d')) #x轴上的label格式为"年-月-日",其中年取后两位
            xlabels = ax.get_xticklabels()
            for xl in xlabels: xl.set_rotation(15) #把x轴上的label旋转15度,以免太密集时有重叠
            xlabel(u'日期(年-月-日)')
            ylabel(u'温度(摄氏度)')
            title(km.s+position.s)
            legend(loc=3,prop={'size':10})
            #show()
            savefig('D:/root/pics/'+km.s+position.s+'.png')
            clf()