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matplotlib-plot-style

2014-08-17 12:13 225 查看

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')

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, 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

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