误导人的线形图

消费者偏好数据

表中给出受访者中偏爱美味可乐(激动汽水，没有偏好)的人数百分比

years	Prefer Yummy Cola	Prefer Thril Soda	No preference
2006	80%	12%	8%
2007	76%	19%	5%
2008	77%	19%	4%
2009	73%	20%	7%
2010	73%	21%	6%
2011	68%	25%	7%

从图中我们看到，里面的数据是正确的(和表中是对应的)
喜爱美味可乐的人比例在下降，喜爱激动汽水人数占比在增加
但是我们并不能给出变化幅度的结论，而且即使喜爱美味可乐的人占比下降，其实喜爱激动汽水的人数占比还是远远跟不上的，至少按照这样还是一个长远的过程．

我觉得我们需要一个正确的绘图来表达两个的对比
他们需要相同的坐标中比较

利用`pyhton`绘制线性图

误导人的线形图程序

import numpy as np 
import matplotlib.pyplot as plt 
from mpl_toolkits.axisartist.axislines import SubplotZero

# 设置图窗口1
fig = plt.figure(figsize=(7, 2), dpi=120, facecolor='#FFDAB9', edgecolor='c') 
ax1 = SubplotZero(fig, 1, 2, 1, axisbg='#FFDAB9')
fig.add_subplot(ax1)
ax1.grid(True, color='w', linestyle='-')
ax1.axis['right', 'top'].set_visible(False) 

# 设置窗口2
ax2 = SubplotZero(fig, 1, 2, 2, axisbg='#FFDAB9')
fig.add_subplot(ax2)
ax2.grid(True, color='w', linestyle='-')
ax2.axis['right', 'top'].set_visible(False) 

# 创建数据
prefer = ['Prefer Yummy Cola', 'Prefer Thril Soda', 'No preference']
years = ['2006', '2007', '2008', '2009', '2010', '2011']
years_x = np.arange(1, len(years)+1)
prefer_cola = [80, 76, 77, 73, 73, 68]
prefer_soda = [12, 19, 19, 20, 21, 25]
y_cola = np.arange(20, 110, 10)
y_soda = np.arange(0, 40, 10)

# 画图
ax1.plot(years_x, prefer_cola, 'r-o')
ax1.set_xticks(years_x, years)
ax1.set_yticks(y_cola)
ax1.set_title(prefer[0])

ax2.plot(years_x, prefer_soda, 'g-o')
ax2.set_xticks(years_x, years)
ax2.set_yticks(y_soda)
ax2.set_title(prefer[1])

plt.show()

正确的线形绘图程序

import numpy as np 
import matplotlib.pyplot as plt 
from mpl_toolkits.axisartist.axislines import SubplotZero

# 设置图窗口1
fig = plt.figure(figsize=(7, 4), dpi=120, facecolor='#FFDAB9', edgecolor='c') 
ax1 = SubplotZero(fig, 1, 1, 1, axisbg='#FFDAB9')
fig.add_subplot(ax1)
ax1.grid(True, color='w', linestyle='-')
ax1.axis['right', 'top'].set_visible(False) 

# 创建数据
prefer = ['Prefer Yummy Cola', 'Prefer Thril Soda', 'No preference']
years = ['2006', '2007', '2008', '2009', '2010', '2011']
years_x = np.arange(1, len(years)+1)
prefer_cola = [80, 76, 77, 73, 73, 68]
prefer_soda = [12, 19, 19, 20, 21, 25]
y_cola = np.arange(0, 110, 10)

# 画图
ax1.plot(years_x, prefer_cola, 'r-o')
ax1.plot(years_x, prefer_soda, 'g-o')
ax1.set_xticks(years_x, years)
ax1.set_yticks(y_cola)
ax1.set_title('Prefer Yummy Cola and Prefer Thril Soda')

plt.show()