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Python3.8-Matplotlib-Ip-Line

尝试下使用python Matplotlib可视化数据。

演示代码

  • python3.8运行环境
  • 测试数据库
  • jupyter notebook
  • pip3 install pymysql
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➜  jupyter-example git:(main) python --version
Python 3.8.7
➜ jupyter-example git:(main) jupyter notebook --version
6.2.0

代码

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#!/usr/bin/python3
# %matplotlib inline 作用是将Matplotlib绘制的图形内嵌在Jupyter Notebook的页面中,无需执行命令plt.show()便可以直接在页面内展示绘制的图形。

%matplotlib inline
import pymysql
import time
import matplotlib.pyplot as plt

def get_address(date_address,index):
strlist = date_address.split('|') # 用逗号分割str字符串,并保存到列表
address = strlist[index];
return address

def get_timestamp(date_time):
ts = date_time / 1000
#转换成localtime
time_local = time.localtime(ts)
date = time.strftime("%Y-%m", time_local)
return date

def get_content_from_db(sql):
print('连接数据库!')
dbhost='localhost'
dbuser='root'
dbpass='123456'
dbname='ip_info'
# 创建数据库连接
db = pymysql.connect(host=dbhost,user=dbuser,password=dbpass,database=dbname,charset = "utf8mb4")
try:
# 使用cursor()方法获取操作游标
cursor = db.cursor()
# 执行SQL语句
cursor.execute(sql)
# 获取所有记录列表
results = cursor.fetchall()
except:
print ('Reading Error ')
finally:
db.close()
print ('Completion of data reading ')
return (results)

def line_show(results,save_file_name):
indexList = []
timeList = []
total = 0
for i in results:
total += i[1]
indexList.append(i[1])
timeList.append(i[0])

plt.rcParams["font.family"] = 'Arial Unicode MS' # 用来正常显示中文标签
plt.rcParams['axes.unicode_minus'] = False # 用来正常显示负号
plt.rc('figure', figsize = (14, 7))
plt.rc('font', size = 14)
plt.rc('axes', grid = False)
plt.rc('axes', facecolor = 'white')
plt.plot(timeList,
indexList,
'ro-',
color='#4169E1',
alpha=0.8,
linewidth=1,
label='月增长')
# 设置数字标签
for a, b in zip(timeList, indexList):
plt.text(a, b, b, ha='center', va='bottom', fontsize=15)

plt.legend(loc="upper right")

plt.title('用户注册量'+str(total))
plt.xlabel('日期')
plt.ylabel('注册数量')
plt.savefig(save_file_name+'.png',facecolor='white',dpi= 200)
plt.show()

# 查询当前数据库中的所有数据表
line_sql_1 = "SELECT FROM_UNIXTIME(create_time / 1000, '%Y-%m') AS date , COUNT(*) AS count FROM ip_registered GROUP BY date"
results = get_content_from_db(line_sql_1)
line_show(results,'line')

END