<pre name="code" class="python">在很多時候,例如寫論文,例如寫報告,例如做ppt,都需要花很多很多曲線圖,讓人家信服
畢竟數據可視化是人的本能。
假如讀者您很不幸,像我一樣不會用matlab之類的東西畫圖或者沒辦法用matlab畫圖,那麼可以稍微關注一下python,因爲python裏面有很強大的庫matplotlib,讓用戶直接用terminal就可以做大部分matlab畫圖能做的事情。
matplotlib的安裝,可以先安裝pip
然後
sudo pip install matplotlib
假如,現在任務是,從三個文本文檔裏面讀入數據,然後畫出曲線圖然後比較,那麼就可以像如下代碼一樣做。。
<pre name="code" class="python">
#!/usr/bin/env python
import pylab as pl
import numpy as np
filename1 = 'NUMBERCUTOUT0'
filename2 = 'NUMBERCUTOUT1'
filename3 = 'NUMBERCUTOUT2'
file1 = open(filename1,'r')
file2 = open(filename2,'r')
file3 = open(filename3,'r')
value1 = []
value2 = []
value3 = []
for word in file1:
value1.append(word[:-1])
for word in file2:
value2.append(word[:-1])
for word in file3:
value3.append(word[:-1])
length = len(value1)
X = np.linspace(0,length,length,endpoint=True)
fig = pl.figure(1)
pl.plot(X,value1, color ='blue', linewidth = 1.0, linestyle =':',label='Straight-forward Structure')
pl.plot(X,value2, color ='green',linewidth=1.0, linestyle='-', label='Single-branch Structure')
pl.plot(X,value3, color ='red', linewidth=1.0, linestyle='--',label='Double-branch Structure')
pl.legend(loc='upper right')
pl.title('SingleBranch(Blue) DoubleBranch(Green) TribleBranch(Red)')
pl.show()