想用python+matplotlib生成每天用户使用的统计图。测试环境，CentOS6.5，数据存放于mysql中，python2.7，matplotlib使用easy_install安装。

　　首先建一个表。

CREATE TABLE `member` (
  `id` int(1) NOT NULL AUTO_INCREMENT,
  `user` varchar(15) DEFAULT NULL,
  `access_date` datetime DEFAULT NULL,
  `mark` varchar(1) DEFAULT NULL,
  PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;

　　测试数据部分还是写个python脚本生成，这样批量做就方便了。

#!/bin/python
#-*- coding:utf-8 -*-
# Filename:    main.py
# Revision:    1.0
# Date:        2012-06-14
# Author:      simonzhang
# web:         www.simonzhang.net
# Email:       simon-zzm@163.com
### END INIT INFO
import time
import random

# 基础设置
dict = ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm',
        'n', 'o', 'p', 'q', 'r', 's', 't', 'u', 'v', 'w', 'x', 'y', 'z',
        'A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M',
        'N', 'O', 'P', 'Q', 'R', 'S', 'T', 'U', 'V', 'W', 'X', 'Y', 'Z']
# 生成日期的unix起始时间
create_unix_time = 1396281600
# 生成每次日期的间隔时间。单位是小时。
hour_skip_start = 1
hour_skip_end = 12

def main():
    start_unix_time = create_unix_time 
    f = open('create.sql', 'wb')
    # 开始循环生成sql
    for i in range(280):
        # 生成用户名
        user_name = ''
        for j in range(random.randint(1,5)):
            user_name = user_name+random.choice(dict)
        # 生成时间
        start_unix_time = start_unix_time+(random.randint(hour_skip_start, hour_skip_end)*3600)
        get_create_time = time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(start_unix_time))
        f.write("INSERT INTO `member` VALUES ('%s', '%s', '%s', null);\n" % (i, user_name, get_create_time))
    f.close()

if __name__ == '__main__':
    main()

　　开始正式部分，获取数据并生成图片。

#!/bin/python
#-*- coding:utf-8 -*-
# Filename:    main.py
# Revision:    1.0
# Date:        2012-06-14
# Author:      simonzhang
# web:         www.simonzhang.net
# Email:       simon-zzm@163.com
### END INIT INFO
import time
import MySQLdb
from pylab import *
from matplotlib.font_manager import FontProperties

#### set
nearest_day = 32

def create_pic(memberData):
    print memberData
    # 将数据x，y整理两个列表
    x_date = []
    y_count = []
    for i in memberData:
        x_date.append(i[2])
        y_count.append(i[1])
    # 将x轴日期元组化
    zu = []
    da = []
    for j in range(1, len(x_date)/5+1):
        zu.append(j*5)
        da.append(x_date[j*5])
    # 开始生成表
    font = FontProperties(fname=r"/usr/share/fonts/truetype/freefont/msyh.ttf", size=10) 
    cla()
    label = u'测试' 
    plot(y_count)
    # x和y轴定义
    xlabel(u'日期', fontproperties=font)
    ylabel(u'统计数量', fontproperties=font)
    xticks(tuple(zu), tuple(da), fontproperties=font)
    title(u'统计', fontproperties=font)
    grid(True)
    legend(loc = 'lower right')
    savefig("test1.png")

def main():
    try: 
        conn=MySQLdb.connect(host='115.28.42.253',user='test',passwd='123456',db='pymatplotlib',port=3306,charset='utf8')
        cur=conn.cursor()
        start_date = time.strftime('%Y-%m-%d', time.localtime(time.time()-3600*24*nearest_day))
        end_date = time.strftime('%Y-%m-%d', time.localtime(time.time()))
        my_sql = "SELECT id,count(*),DATE_FORMAT(access_date, '%Y-%m-%d' ) \
                  FROM member \
                  WHERE access_date BETWEEN '"+start_date+"' and '"+end_date+"' \
                  GROUP BY DATE_FORMAT(access_date, '%Y-%m-%d' ) "
        print my_sql
        cur.execute(my_sql)
        cds=cur.fetchall()
        conn.close()
    except MySQLdb.Error,e:
        print "Mysql Error %d: %s" % (e.args[0], e.args[1])
    create_pic(cds)


if __name__ == '__main__':
    main()

　　运行脚本完成，生成图片如下：

试验代码部分