matplotlib.pyplot.imshow(X, cmap=None, norm=None, aspect=None, interpolation=None, alpha=None, vmin=None, vmax=None, origin=None, extent=None, *, filternorm=True, filterrad=4.0, resample=None, url=None, data=None, **kwargs) From:https://matplotlib.org/api/_as_gen/matplotlib.pyplot.im...
matplotlib.pyplot.imshow(X,cmap=None,norm=None,aspect=None,interpolation=None,alpha=None,Vmin=None,vmax=None,origin=None,extent=None,shape=None,filternorm=1,filterrad=4.0,imlim=None,resample=None,url=None,hold=None,data=None,**kwargs) 作用:将一个image显示在二维坐标轴上。 常用参数: X:类数...
然后叠加另一组轴: import matplotlib.pyplot as plt import numpy as np # the x,y max and min are the log values array = np.zeros((2,2)) array[1,1] = -1 fig = plt.figure() ax = plt.imshow( array, extent = (0,1, 1, 0), interpola...
Python pyplot定义imshow的像素位置 Python pyplot中的imshow函数用于显示图像数据。它可以将二维数组或图像数据作为输入,并将其显示为图像。imshow函数的语法如下: 代码语言:txt 复制 imshow(X, cmap=None, norm=None, aspect=None, interpolation=None, alpha=None, vmin=None, vmax=None, origin=None, extent=None...
imshow(Z1, cmap ="binary_r", interpolation ='nearest', extent = extent, alpha = 1) def geeks(x, y): return (1 - x / 2 + x**5 + y**6) * np.exp(-(x**2 + y**2)) Z2 = geeks(X, Y) plt.imshow(Z2, alpha = 0.7, interpolation ='bilinear', extent = extent) plt....
matplotlib.pyplot.imshow(X,cmap=None,norm=None,aspect=None,interpolation=None,alpha=None,vmin=None,vmax=None,origin=None,extent=None,*,filternorm=True,filterrad=4.0,resample=None,url=None,data=None,**kwargs)[source] Display data as an image, i.e., on a 2D regular raster. ...
2 matplotlib.pyplot.imshow(X, cmap=None) import matplotlib.pyplot as plt X = plt.imread(fname, format=None) plt.imshow( X, cmap=None, norm=None, aspect=None, interpolation=None, alpha=None, vmin=None, vmax=None, origin=None, extent=None, shape=None, filternorm=1, filterrad=4.0, ...
plt.imshow不接受 x 和 y 网格值作为参数,因此你需要手动指定extent参数[xmin, xmax, ymin, ymax]来设置图表的数据范围。 plt.imshow使用的是默认的图像坐标,即左上角坐标点是原点,而不是通常图表的左下角坐标点。这可以通过设置origin参数来设置。
plt.imshow(mandelbrot_img, cmap='hot', extent=[xmin, xmax, ymin, ymax]) plt.title('Mandelbrot Set') plt.xlabel('Real') plt.ylabel('Imaginary') plt.show() ``` 3. 示例代码解释 - 生成Mandelbrot集合:使用上述代码可以生成著名的Mandelbrot集合的图像。`mandelbrot()` 函数计算复数 `c` 在迭代...
2.5 数值用图表示imshow def showArray(P, cmap = 'viridis'): ''' show matrix with picture, and if the cmap is belongs to diverging colormaps, set midvalue as the center color. ''' # The normal figure # Limits for the extent