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#!/bin/env python#coding=utf8'''function: show total of all data in one picture write: zhanglejiedate: 2015/09/22'''impo
#!/bin/env python
#coding=utf8
'''
function: show total of all data in one picture
write: zhanglejie
date: 2015/09/22
'''
import numpy as np
import pylab as pl
import string
import matplotlib.ticker as ticker
from matplotlib.dates import DayLocator, HourLocator, DateFORMatter, drange
from datetime import datetime,timedelta
from matplotlib.dates import AutoDateLocator, DateFormatter
from matplotlib.font_manager import FontProperties
from matplotlib.ticker import MultipleLocator,FormatStrFormatter
#define font of chinese
font = FontProperties(fname="/usr/share/fonts/cjkuni-ukai/ukai.ttc", size=15)
font_small = FontProperties(fname="/usr/share/fonts/cjkuni-ukai/ukai.ttc", size=13)
#define picture size
pl.figure(figsize=(15,8), dpi=60)
pl.subplots_adjust(bottom=0.060, left=0.035, top=0.975, right=0.958)
#split picture to two
ax1 = pl.subplot(311)
ax2 = pl.subplot(312)
ax3 = pl.subplot(313)
ax1.grid(True) #show grid
ax2.grid(True)
ax3.grid(True)
#
#define
x_time = np.linspace(14,1,14,endpoint=True)
#x_time = []
y_active = []
y_new = []
y_earn_money = []
y_new_vip = []
y_new_reGISter = []
y_new_point = []
y_used_point = []
y_all_point = []
y_new_payer = []
y_all_payer = []
#
for line in file('/tmp/pic_data.txt'):
if string.strip(line) != '':
info = line.split()
# x_time.append(info[0])
y_active.append(info[1])
y_new.append(info[2])
y_earn_money.append(info[4])
y_new_vip.append(info[5])
y_new_register.append(info[6])
y_new_point.append(info[7])
y_used_point.append(info[8][1:])
y_new_payer.append(info[9])
y_all_point.append(info[10])
y_all_payer.append(info[11])
#print x_time
#
#
#pl.title(u'报告',fontproperties=font)
pl.xlabel(u'几天前',fontproperties=font)
#
ax1.xaxis.set_major_locator(MultipleLocator(1))
ax1.yaxis.set_major_locator(MultipleLocator(150))
ax1.plot(x_time, y_active,'o-',color='blue',linewidth=2.5,label=u'活跃用户')
ax1.plot(x_time, y_all_payer,'o-',color='darkcyan',linewidth=2.5,label=u'总付费用户')
ax1.legend(loc='best', frameon=False,prop=font_small)
#
ax2.xaxis.set_major_locator(MultipleLocator(1))
ax2.yaxis.set_major_locator(MultipleLocator(10))
ax2.plot(x_time, y_new_register,'o-',color='blue',linewidth=2.5,label=u'新增注册')
ax2.plot(x_time, y_new_vip,'o-',color='red',linewidth=2.5,label=u'新增会员')
ax2.plot(x_time, y_new,'o-',color='green',linewidth=2.5,label=u'新增用户')
ax2.plot(x_time, y_earn_money,'o-',color='magenta',linewidth=2.5,label=u'收入')
ax2.plot(x_time, y_new_payer,'o-',color='darkmagenta',linewidth=2.5,label=u'新增付费用户')
ax2.legend(loc='best', frameon=False,prop=font_small)
#
ax3.xaxis.set_major_locator(MultipleLocator(1))
ax3.yaxis.set_major_locator(MultipleLocator(5000))
ax3.plot(x_time, y_new_point,'o-',color='blue',linewidth=2.5,label=u'新增积分')
ax3.plot(x_time, y_used_point,'o-',color='red',linewidth=2.5,label=u'消耗积分')
ax3.plot(x_time, y_all_point,'o-',color='green',linewidth=2.5,label=u'总积分')
ax3.legend(loc='best', frameon=False,prop=font_small)
#
pl.savefig("/tmp/all_data.png")
--结束END--
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