python3_matplotlib_figure()函数解析

匿名 (未验证) 提交于 2019-12-02 22:54:36

1.绘图库导入

  1. import
  2. import

2.创建一个图形实例

  1. plt.figure(figsize=(15,5

figure说明:The Figure instance returned will also be passed to new_figure_manager in the backends, which allows to hook custom Figure classes into the pylab interface. Additional kwargs will be passed to the figure init function。


note:If you are creating many figures, make sure you explicitly call "close" on the figures you are not using, because this will enable pylab to properly clean up the memory.

注意:如果你创建了多个figure实例,必须确保你显式的调用“close”来释放你已经不再使用的figure实例。因为只有这样pylab才能正确的释放内存。

3.函数头:

  1. defNoneNoneNoneNoneNoneTrueFalse

4.参数说明:

num : integer or string, optional, default: none
If not provided, a new figure will be created, and the figure number will be incremented. The figure objects holds this number in a number attribute. If num is provided, and a figure with this id already exists, make it active, and returns a reference to it. If this figure does not exists, create it and returns it. If num is a string, the window title will be set to this figure's num.

num:如果此参数没有提供,则一个新的figure对象将被创建,同时增加figure的计数数值,此数值被保存在figure对象的一个数字属性当中。如果有此参数,且存在对应id的figure对象,则激活对于id的figure对象。如果对应id的figur对象不存在,则创建它并返回它。如果num的值是字符串,则将窗口标题设置为此字符串。

figsize : tuple of integers, optional, default: None

width, height in inches. If not provided, defaults to rc figure.figsize

figsize:以英寸为单位的宽高,缺省值为 rc figure.figsize (1英寸等于2.54厘米)

实验:

  1. import
  2. import
  3. ,figsize=(3,1
  4. ,figsize=(6,2

运行结果如下:


num深入实验

  1. import
  2. import
  3. 'fig1',figsize=(6,3),dpi=75,facecolor='#666666',edgecolor='#0000FF'
  4. 'fig2',figsize=(6,3),dpi=75,facecolor='#FFFFFF',edgecolor='#FF0000'
  5. plt.xlim(0,20
  6. plt.ylim(0,10

运行结果:


我建立了两个figure图,plt.xlim,plt.ylim只给最后创建的figure(fig2)配置,如果我想给第一个figure配置xlim与lim该怎么做?这个时候就可以用num参数了 。

  1. import
  2. import
  3. 'fig1',figsize=(6,3),dpi=75,facecolor='#666666',edgecolor='#0000FF'
  4. 'fig2',figsize=(6,3),dpi=75,facecolor='#FFFFFF',edgecolor='#FF0000'
  5. plt.xlim(0,20
  6. plt.ylim(0,10
  7. plt.figure(num='fig1'
  8. plt.xlim(0,20
  9. plt.ylim(0,10

实验结果:



dpi : integer, optional, default: None

resolution of the figure. If not provided, defaults to rc figure.dpi.

dpi:图形分辨率,缺省值为rc figure.dpi

实验:

  1. import
  2. import
  3. "dpi=72",figsize=(6,2),dpi=72
  4. "dpi=100",figsize=(6,2),dpi=100

相同的figsize,不同的dpi,可见dpi越大则图形越大

facecolor :

the background color. If not provided, defaults to rc figure.facecolo

facecolor:背景色

edgecolor :

the border color. If not provided, defaults to rc figure.edgecolor

edgecolor:边框颜色

frameon : bool, optional, default: True

If False, suppress drawing the figure frame.

frameon:默认值True为绘制边框,如果为False则不绘制边框

FigureClass : class derived from matplotlib.figure.Figure

Optionally use a custom Figure instance.

FigureClass:matplotlib.figure.Figure派生类,从派生类创建figure实例

clear : bool, optional, default: False

If True and the figure already exists, then it is cleared

clear:重建figure实例

易学教程内所有资源均来自网络或用户发布的内容,如有违反法律规定的内容欢迎反馈
该文章没有解决你所遇到的问题?点击提问,说说你的问题,让更多的人一起探讨吧!