表嵌在圖裏面。

驗証之前匯入sqlite3的data是否正確，並發換葉問一次打１０個的精神，這次畫１０家的今年一到八月的股價。
複習之前的指令。
光電業挑十家知名公司，

import sqlite3

conn = sqlite3.connect('revenue.db')
conn.text_factory = str
c = conn.cursor()

for row in c.execute("SELECT distinct * FROM m_prc_new WHERE cpy in ('3149','2499','3008','2448','2475','3019','3356','3406','3584','6209')"):
    print(row)
output:
('2448', '102', '1', 56.7, 49.2, 53.74, 111266.0, 13480459739.0, 250808419.0, 26.91)
('2448', '102', '2', 59.0, 53.5, 56.64, 44109.0, 5479853713.0, 96743000.0, 10.37)
------------------------------------------------------
('6209', '102', '7', 32.8, 29.85, 31.25, 11319.0, 654723498.0, 20948654.0, 12.88)
('6209', '102', '8', 31.2, 28.15, 29.8, 8228.0, 442854241.0, 14858041.0, 9.13)

第六個欄位是月平均單價
把資料換成適合畫圖的格式，

import datetime
import matplotlib.dates as md 

x=[];y1=[];y2=[];y3=[];y4=[];y5=[];y6=[];y7=[];y8=[];y9=[];yA=[];
for row in c.execute("SELECT distinct * FROM m_prc_new WHERE cpy in ('3149','2499','3008','2448','2475','3019','3356','3406','3584','6209')"):
    if row[0]=='3149':
        y=int(row[1])+1911
        m=int(row[2])
        dt=datetime.datetime(y,m,1)
        x.append(md.date2num(dt))
        y1.append(float(row[5]))

    if row[0]=='2499':
        y2.append(float(row[5]))
        
    if row[0]=='3008':
        y3.append(float(row[5]))
        
    if row[0]=='2448':
        y4.append(float(row[5]))
        
    if row[0]=='2475':
        y5.append(float(row[5]))

    if row[0]=='3019':
        y6.append(float(row[5]))

    if row[0]=='3356':
        y7.append(float(row[5]))

    if row[0]=='3406':
        y8.append(float(row[5]))

    if row[0]=='3584':
        y9.append(float(row[5]))
        
    if row[0]=='6209':
        yA.append(float(row[5]))
    

    
x,y1,y2,y3,y4,y5,y6,y7,y8,y9,yA     
output:
([734869.0,
  734900.0,
  734928.0,
  734959.0,
  734989.0,
  735020.0,
  735050.0,
  735081.0],
 [69.54, 71.11, 71.73, 66.26, 65.04, 55.44, 57.14, 56.63],
 [27.68, 28.01, 29.3, 28.53, 28.88, 27.79, 25.49, 23.19],
 [755.13, 807.42, 770.57, 749.72, 908.11, 967.25, 953.93, 1054.1],
 [53.74, 56.64, 56.9, 51.02, 56.37, 56.33, 53.04, 49.96],
 [0.96, 0.94, 1.11, 1.65, 2.0, 1.87, 1.66, 1.58],
 [29.23, 30.22, 31.18, 28.64, 33.0, 33.22, 32.8, 30.66],
 [120.81, 125.23, 127.58, 134.54, 133.89, 134.09, 147.42, 158.77],
 [203.95, 207.04, 190.68, 171.67, 187.26, 184.37, 172.77, 169.05],
 [23.59, 25.41, 29.55, 29.89, 34.22, 34.8, 30.68, 26.58],
 [35.08, 36.97, 38.32, 35.57, 36.48, 34.19, 31.25, 29.8])

因為資料是排序的，筆者用這種比較直覺的寫法。把ＳＱＬ的select result轉成List.
畫上圖與表

import matplotlib.pylab as plt

plt.figure()
ax=plt.gca()
ax.set_title('10 Companies')
ax.plot_date(x, y1, '-', label='3149 ')  
ax.plot_date(x, y2, '-', label='2499 ')  
ax.plot_date(x, y3, '-', label='3008 ')  
ax.plot_date(x, y4, '-', label='2448 ')  
ax.plot_date(x, y5, '-', label='2475 ')  
ax.plot_date(x, y6, '-', label='3019 ')  
ax.plot_date(x, y7, '-', label='3356 ')  
ax.plot_date(x, y8, '-', label='3406 ')  
ax.plot_date(x, y9, '-', label='3584 ')  
ax.plot_date(x, yA, '-', label='6209 ')  
#plt.autofmt_xdate()

legend = ax.legend(loc='upper left', shadow=True)

col_labels=['2013/01','2013/02','2013/03','2013/04','2013/05','2013/06','2013/07','2013/08']
row_labels=['3149','2499','3008','2448','2475','3019','3356','3406','3584','6209']
table_vals=[y1, y2, y3, y4, y5, y6, y7, y8, y9, yA]
# the rectangle is where I want to place the table
the_table = plt.table(cellText=table_vals,
                  colWidths = [0.15]*8,
                  rowLabels=row_labels,
                  colLabels=col_labels,
                  loc='bottom')
plt.subplots_adjust(left=0.1, bottom=-0.5)

plt.show()

花了不少時間，把表往下挪一點，就是挪不動，還得多了解其繪圖的原理。

加上中文

ax.set_title('10 家光電業公司本年一至八月均價',fontproperties=zhfont1)
plt.ylabel('單位(新台幣:元)',fontproperties=zhfont1)

效果呈現：

Title和縱軸中文說明。