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
• marker
• 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)
X=np.ones(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\’)

![enumerate-help.png](https://raw.githubusercontent.com/urmyfaith/urmyfaith.github.io/master/matplot/matplotGallery/images/enumerate-help.png)

绘制12条直线,X=1,...X=12

### Result

![style-02.png](https://raw.githubusercontent.com/urmyfaith/urmyfaith.github.io/master/matplot/matplotGallery/images/style-02.png)

隐藏Y轴刻度,替换X轴标签后的图形

![style-03.png](https://raw.githubusercontent.com/urmyfaith/urmyfaith.github.io/master/matplot/matplotGallery/images/style-03.png)

----

## 线型(实线,虚线,点划线)

### code

```python
#!/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, linestyle="-" )
axes.plot( X, Y*0.2, color = \'blue\', linewidth=2, linestyle="--" )
axes.plot( X, Y*0.3, color = \'blue\', linewidth=2, linestyle="-." )
axes.plot( X, Y*0.4, color = \'blue\', linewidth=2, linestyle=":" )
line, = axes.plot( X, Y*0.5, color = \'blue\', linewidth=2, linestyle="-" )
line.set_dashes([20,2])
line, = axes.plot( X, Y*0.6, color = \'blue\', linewidth=2, linestyle="-" )
line.set_dashes([2,20])
line, = axes.plot( X, Y*0.7, color = \'blue\', linewidth=2, linestyle="-" )
line.set_dashes((40,5,5,5))
line, = axes.plot( X, Y*0.8, color = \'blue\', linewidth=2, linestyle="-" )
line.set_dashes((40,5,5,5,5,5))
line, = axes.plot( X, Y*0.9, color = \'blue\', linewidth=2, linestyle="-" )
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, linestyle=”-“)

linestyle=”-“ 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, linestyle="-" )
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

#!/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)
markers = [\'.\',\',\',\'o\',\'v\',\'^\',\'<\',\'>\',\'1\',\'2\',\'3\',\'4\',
           \'s\',\'p\',\'*\',\'h\',\'H\',\'+\',\'x\',\'D\',\'d\',\'|\',\'_\', r\'$\clubsuit$\']

# Actual plotting
fig = plt.figure(figsize=(8,6), dpi=72, facecolor="white")
axes = plt.subplot(111)
for i,marker in enumerate(markers):
    axes.plot( (1+i)*X, Y, color = \'0.9\', linewidth=1,
               markersize = 13, marker=marker,
               markeredgecolor = \'0.10\', markerfacecolor = \'0.75\')

axes.set_xlim(0,len(markers)+1)
axes.set_ylim(Y.min(),Y.max())
axes.set_yticks([])
axes.set_xticks(np.arange(1,len(markers)+1))
axes.set_xticklabels(markers)

plt.show()

Keypoints

   axes.plot( (1+i)*X, Y, color = \'0.9\', linewidth=1,
               markersize = 13, marker=\'x\',
               markeredgecolor = \'0.10\', markerfacecolor = \'0.75\')

标记的大小,类型,边缘颜色,前景色

Resutl

6. 柱状图及其填充

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)
patterns = (\'/\',\'//\',\'-\', \'+\', \'x\', \'\\\', \'\\\\\', \'*\', \'o\', \'O\', \'.\')

# Actual plotting
fig = plt.figure(figsize=(8,6), dpi=72, facecolor="white")
axes = plt.subplot(111)
for i,pattern in enumerate(patterns):
    axes.bar( .5+i, 1, hatch=pattern, color=\'white\', edgecolor=\'blue\',)
    
axes.set_xlim(0,len(patterns)+.5)
axes.set_ylim(0,1)

axes.set_yticks([])
axes.set_xticks(np.arange(1,len(patterns)+1))
axes.set_xticklabels(patterns)

plt.show()

Keypoints

axes.bar( .5+i, 1, hatch=pattern, color=\'white\', edgecolor=\'blue\',)

hatch,柱状图的填充:

Result