Hexo支持PlantUML图表

示例

先来看看使用matlablib显示一条波形数据的例子

import matplotlib.pyplot as plt
import numpy as np

x = np.linspace(1, 605, 605)

y = np.array([5,9,11,11,9,8,7,5,2,1,3,7,9,9,7,5,5,6,6,6,4,3,4,4,4,4,5,6,5,2,2,2,2,2,2,1,2,2,2,2,2,2,2,1,0,0,1,2,2,1,1,1,1,1,1,2,2,2,2,2,2,2,3,2,2,2,2,2,1,1,1,1,1,1,2,2,1,1,1,1,1,0,1,1,1,0,0,0,0,0,1,1,1,1,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0])
plt.figure(figsize=(10, 10))
plt.plot(x, y)
plt.xlim((1, 605))
plt.ylim((0, 255))
plt.xlabel('x axis')
plt.ylabel('y axis')
my_x_ticks = np.arange(1, 605, 50)
my_y_ticks = np.arange(0, 255, 10)
plt.xticks(my_x_ticks)
plt.yticks(my_y_ticks, np.arange(0, 100, 4))

plt.show()
plt.close

linspace

linspace是用于创建一个一维数组，并且是等差数列构成的一维数组;如:

>>> import numpy
>>> a = numpy.linspace(1, 10, 10)
>>> a
array([ 1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10.])

这里第一个参数表示起始数值，第二个参数表示终止数值， 第三个参数表示数列个数。
其实还有第四个参数endpoint,默认为True，如果该参数设置为False，则输出的数组将不包含终止数值。

figure

调用figure能够创建一个用来显示图形输出的一个窗口对象.
函数原型

def figure(num=None, figsize=None, dpi=None, facecolor=None, edgecolor=None, frameon=True, FigureClass=Figure, clear=False, **kwargs)

• num: 整型或字符串，可选，默认为None
  如果不设置该参数，创建figure时，Figure号会递增，生成的对象会保存递增后的号码
  如果用数字设置该参数，当指定的id号已经生成Figure了，则返回该Figure的索引，则还没有生成，则创建他并返回
  如果用字符设置该参数，则将会用该参数设置窗口标题
• figsize: 整型数组（元组），可选，默认为None
  宽度和长度的单位为英寸，如果不提供该参数，默认会设置为rc figure.figsize
• dpi: 整型，可选，默认为None
  窗口的分辨率
• facecolor: 背景颜色
• edgecolor: 边框颜色
• framon: 布尔值，可选，默认为True
  设置为False时，会停止画Figure帧
• FigureClass: matplotlib.figure.Figure的子类
  可选，用于自定义Figure实例
• clear: 布尔值，可选，默认为False
  设置为True且figure对象已经存在时，则对象会被清除
• 返回值: Figure对象

plot

制图

xlim和ylim

分别设置当前X轴和Y轴的上限和上限

xlabel和ylabel

分别设置当前X轴和Y轴的标题

arange

类似于内置函数range()，通过指定开始值、终值和步长创建表示等差数列的一维数组，注意得到的结果数组不包含终值。与linspace是不同， linspace是确定列数。

xticks和yticks

分别获取或设置X轴或Y轴的核度定位和核度标签。
在matplotlib中ticks表示的是刻度，而刻度有两层意思，一个是刻度定位(tick locations)，一个是刻度标签(tick labels)。
示例

locs, labels = xticks()   #获取定位和标签
xticks(locs, [labels], **kwargs)  #设置定位和标签
# 显示x轴的刻标
xticks( arange(6) )
# 显示x轴的刻标以及对应的标签
xticks( arange(5), ('Tom', 'Dick', 'Harry', 'Sally', 'Sue') )

此外xticks()还可以传入matplotlib.text.Text类的属性来控制显示的样式

xticks( arange(12), calendar.month_name[1:13], rotation=17 )

如果不想显示ticks则可以可以传入空的参数如yticks([])

show

显示Figure,程序会阻塞在这里，当用户关闭Figure窗口后才会往下执行，退出程序前，记得关闭窗口

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