Python中的 Matplotlib.figure.Figure.figimage()

Matplotlib是Python中的一个库，它是 NumPy 库的数值数学扩展。 figure 模块提供了顶级 Artist，即 Figure，其中包含所有绘图元素。该模块用于控制所有绘图元素的子图和顶级容器的默认间距。

matplotlib.figure.Figure.figimage()函数

matplotlib 库的图形模块的 figimage() 方法用于向图形添加未重采样的图像。

Syntax: figimage(self, X, xo=0, yo=0, alpha=None, norm=None, cmap=None, vmin=None, vmax=None, origin=None, resize=False, **kwargs)

Parameters: This accept the following parameters that are described below:

• X: This parameter is the image data.
• xo, yo: These parameters are the x/y image offset in pixels.
• alpha : This parameter is the alpha blending value.
• norm : This parameter is the Normalize instance to map the luminance to the interval [0, 1].
• cmap : This parameter is the colormap to use.
• vmin, vmax: These parameter are the the data limits for the colormap.
• origin : This parameter indicates where the [0, 0] index of the array is in the upper left or lower left corner of the axes.
• resize : This parameter is used to resize the figure to match the given image size.

Returns: This method returns the matplotlib.image.FigureImage.

下面的示例说明了 matplotlib.figure 中的 matplotlib.figure.Figure.figimage()函数：

示例 1：

# Implementation of matplotlib function 
import matplotlib.pyplot as plt
import numpy as np
  
fig = plt.figure()
nx = int(fig.get_figwidth() * fig.dpi)
ny = int(fig.get_figheight() * fig.dpi)
data = np.random.random((ny, nx))
fig.figimage(data)
  
fig.suptitle('matplotlib.figure.Figure.figimage()\
function Example', fontweight ="bold") 
  
plt.show()

输出：

示例 2：

# Implementation of matplotlib function 
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
  
  
fig = plt.figure()
Z = np.arange(10000).reshape((100, 100))
Z[:, 50:] = 1
  
im1 = fig.figimage(Z, xo = 500, yo = 100,
                   origin ='lower')
  
im2 = fig.figimage(Z, xo = 100, yo = 100,
                   alpha =.6,
                   origin ='lower')
  
fig.suptitle('matplotlib.figure.Figure.figimage() \
function Example', fontweight ="bold") 
  
plt.show()

输出：