欢迎您访问程序员文章站本站旨在为大家提供分享程序员计算机编程知识!
您现在的位置是: 首页  >  IT编程

Python3绘图库Matplotlib(02)

程序员文章站 2022-03-07 17:17:42
控制颜色 Color Color Name b blue c cyan g green k black m magenta r red w white y yellow Color Color Name b blue c cyan g green k black m magenta r red w ......

控制颜色

Python3绘图库Matplotlib(02)
Color Color Name
b blue
c cyan
g green
k black
m magenta
r red
w white
y yellow
plt.plot(x1, y1, fmt1, x2, y2, fmt2, ...)

控制线的风格

Style Style
- solid line
-- dashed line
-. dash-dot line
: dotted line

控制标记样式

. Point marker
, Pixel marker
o Circle marker
v Triangle down
^ Triangle up marker
< Triangle left marker
> Triangle right marker
1 Tripod down marker
2 Tripod up marker
3 Tripod left marker
4 Tripod right marker
s Square marker
p Pentagon marker
* Star marker
h Hexagon marker
H Rotated hexagon marker
+ Plus marker
x Cross marker
D Diamond marker
d Thin diamond marker
| Vertical line
_ Horizontal line

用关键字参数进行更好的控制

处理X和Y的ticks标签值

画图的类型

直方图图表 = Histogram charts

Python3绘图库Matplotlib(02)
 

Error bar charts

Bar Charts

Python3绘图库Matplotlib(02)

本小结代码示例

import matplotlib.pyplot as plt
import numpy as np
y = np.arange(1, 3)
plt.plot(y, 'y')
plt.plot(y+1, 'm')
plt.plot(y+2, 'c')
plt.show()

import matplotlib.pyplot as plt
import numpy as np
y = np.arange(1, 3)
plt.plot(y, '--', y+1, '-.', y+2, ':')
plt.show()

import matplotlib.pyplot as plt
import numpy as np
y = np.arange(1, 3, 0.2)
plt.plot(y, 'x', y+0.5, 'o', y+1, 'D', y+1.5, '^', y+2, 's')
plt.show()

import matplotlib.pyplot as plt
import numpy as np
y = np.arange(1, 3, 0.3)
plt.plot(y, 'cx--', y+1, 'mo:', y+2, 'kp-.')
plt.show()

import matplotlib.pyplot as plt
import numpy as np
y = np.arange(1, 3, 0.3)
plt.plot(y, color='blue', linestyle='dashdot', linewidth=4, 
         marker='o', markerfacecolor='red', markeredgecolor='black',
        markeredgewidth=3, markersize=12)
plt.show()

import matplotlib.pyplot as plt
x = [5, 3, 7, 2, 4, 1]
plt.plot(x)
plt.xticks(range(len(x)), ['a', 'b', 'c', 'd', 'e', 'f'])
plt.yticks(range(1, 8, 2))
plt.show()

import matplotlib.pyplot as plt
import numpy as np
y = np.random.randn(1000)
plt.hist(y)
plt.show()
plt.hist(y, 25)
plt.show()

import matplotlib.pyplot as plt
import numpy as np
x = np.arange(0, 4, 0.2)
y = np.exp(-x)
e1 = 0.1 * np.abs(np.random.randn(len(y)))
plt.errorbar(x, y, yerr=e1, fmt='.-')
plt.show()
e2 = 0.1 * np.abs(np.random.randn(len(y)))
plt.errorbar(x, y, yerr=e1, xerr=e2, fmt='.-', capsize=0)
plt.show()
plt.errorbar(x, y, yerr=[e1, e2], fmt='.-')
plt.show()

import matplotlib.pyplot as plt
plt.bar([1, 2, 3], [3, 2, 5])
plt.show()

import matplotlib.pyplot as plt
import numpy as np
data1 = 10*np.random.rand(5)
data2 = 10*np.random.rand(5)
data3 = 10*np.random.rand(5)
e2 = 0.5*np.abs(np.random.randn(len(data2)))
locs = np.arange(1, len(data1)+1)
width = 0.27
plt.bar(locs+width, data2, yerr=e2, width=width, color='red')
plt.bar(locs+2*width, data3, width=width, color='green')
plt.show()

知识在于点点滴滴的积累,我会在这个路上Go ahead,

有幸看到我博客的朋友们,若能学到知识,请多多关注以及讨论,让我们共同进步,扬帆起航。

后记:打油诗一首

适度锻炼,量化指标

考量天气,设定目标

科学锻炼,成就体标

高效科研,实现学标