Matplotlib：点、实虚线条、柱状图阴影填充style
1.绘制x=1
2.不同线宽
enumerate(Widths)
3.线型(实线，虚线，点划线)
linestyle
set_dashes
4.⾃动设置线颜⾊
5.点的显⽰形式
matplotlib中subplotmarker
markersize
markeredgecolor
markerfacecolor
6.柱状图及其填充
axes.bar
axes.bar( .5+i, 1, hatch='/', color='white', edgecolor='blue',)
x=1
code
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
#Data
Y=np.linspace(0,1,12)
s(Y.size)
#figure
fig = plt.figure(figsize=(8,6), dpi=72, facecolor='white')
axes = plt.subplot(111)
#plot
axes.plot( (1+0)*X, Y, linewidth=0.25, color='blue')
plt.show()
Keypoints
axes.plot( (1+0)*X, Y, linewidth=0.25, color='blue')
X=[ 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
Y=[ 0. 0.09090909 0.18181818 0.27272727 0.36363636 0.45454545
0.54545455 0.63636364 0.72727273 0.81818182 0.90909091 1. ]
Result
不同线宽
code
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
# Data to be represented
Y = np.linspace(0,1,12)
print Y
X = np.ones(Y.size)
print X
W = [0.25,0.50,0.75,1,2,3,4,5,6,7,8]  #linewidth print W
# Actual plotting
fig = plt.figure(figsize=(8,6), dpi=72, facecolor='white') axes = plt.subplot(111)
for i,w in enumerate(W):
axes.plot( (1+i)*X, Y, linewidth=w, color='blue')
# X,Y axes lable
axes.set_xlim(0,len(W)+1)
axes.set_yticks([])
axes.set_xticks(np.arange(1,len(W)+1))
axes.set_xticklabels(['%.2f' % w for w in W])
plt.show()
Keypoints
for i,w in enumerate(W):
axes.plot( (1+i)*X, Y, linewidth=w, color='blue')
绘制12条直线,X=1,...X=12
Result
隐藏Y轴刻度，替换X轴标签后的图形
线型(实线，虚线，点划线)
code
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
# Data to be represented
X = np.linspace(0,1,10)
Y = np.ones(X.size)
# Actual plotting
fig = plt.figure(figsize=(8,6), dpi=72, facecolor="white")
axes = plt.subplot(111,aspect=1)
axes.plot( X, Y*0.1, color = 'blue', linewidth=2, line )
axes.plot( X, Y*0.2, color = 'blue', linewidth=2, line )
axes.plot( X, Y*0.3, color = 'blue', linewidth=2, line )
axes.plot( X, Y*0.4, color = 'blue', linewidth=2, line )
line, = axes.plot( X, Y*0.5, color = 'blue', linewidth=2, line )
line.set_dashes([20,2])
line, = axes.plot( X, Y*0.6, color = 'blue', linewidth=2, line )
line.set_dashes([2,20])
line, = axes.plot( X, Y*0.7, color = 'blue', linewidth=2, line )
line.set_dashes((40,5,5,5))
line, = axes.plot( X, Y*0.8, color = 'blue', linewidth=2, line )
line.set_dashes((40,5,5,5,5,5))
line, = axes.plot( X, Y*0.9, color = 'blue', linewidth=2, line )
line.set_dashes((40,5,5,5,5,5,40,5))
axes.set_xlim(X.min(),X.max())
axes.set_ylim(0,1)
axes.set_xticks([])
axes.set_yticks(np.arange(1,10)/10.0)
axes.set_yticklabels(("-","--","-.",":",
"(20,2)", "(2,20)", "(40,5,5,5)",
"(40,5,5,5,5,5,5)", "(40,5,5,5,5,40)"))
plt.show()
Keypoints
axes.plot( X, Y*0.1, color = 'blue', linewidth=2, line) line 线型:
-
-
-.
:
控制点划线的点，空格，划的长度:
line, = axes.plot( X, Y*0.9, color = 'blue', linewidth=2, line )
line.set_dashes((40,5,5,5,5,5,40,5))
40划5空格5点5空格5点5空格40划5空格
Result
⾃动设置线颜⾊
code
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
# Data to be represented
Y = np.linspace(0,1,12)
X = np.ones(Y.size)
# Actual plotting
fig = plt.figure(figsize=(8,6), dpi=72, facecolor="white") axes = plt.subplot(111)
lineNumbers=9
for i in range(lineNumbers):
axes.plot( (1+i)*X, Y, linewidth=4)
axes.set_xlim(0,lineNumbers+1)
axes.set_yticks([])
axes.set_xticks(np.arange(1,lineNumbers+1))
plt.show()
Keypoints
这⾥⽤循环绘制了9条直线，但是这⾥是⾃动填充颜⾊的? Result
5. 点的显⽰形式
code

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