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,*,data=None,**kwargs) 参数说明: X:输入数据。可以是二维数组、三维数组、PIL图像对象、matplotlib路径对象等。
io.imshow(img) 这一行代码的实质是利用matplotlib包对图片进行绘制,绘制成功后,返回一个matplotlib类型的数据。因此,我们也可以这样写: 代码语言:javascript 代码运行次数:0 运行 AI代码解释 import matplotlib.pyplot as plt plt.imshow(img) imshow()函数格式为: matplotlib.pyplot.imshow(X, cmap=None) X: 要...
问Matplotlib :直接应用cmap与imshow()不同EN一切看似复杂的计算机视觉项目，其基础都会回归到单张图片上。
imshow()接收一张图像,只是画出该图,并不会立刻显示出来。 a=np.random.random(9).reshape(3,3) #interpolation(插值方法,默认'nearest') #origin(坐标轴的样式,可选值为upper和lower) plt.imshow(a,interpolation='nearest',cmap='bone',origin='upper') plt.colorbar()#给图添加颜色渐变条 plt.xticks((...
cmap: 颜色映射,例如 'viridis'、'plasma' 等。 alpha: 透明度,取值范围为 0 到 1。 示例 import numpy as np import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D # 创建图形和轴 fig = plt.figure() ax = fig.add_subplot(111, projection='3d') # 生成网格数据 x = np.li...
import numpy as np import matplotlib.pyplot as plt %matplotlib inline img = np.zeros((20, 20)) plt.imshow(img, cmap='gray') # displays an all-black image as expected img2 = img + 255 plt.imshow(img2, cmap='gray') # displays an all-black image - should be all white? img2[2...
We can specify the colormap using the cmap argument to the plotting function that is creating the visualization (Figure 4-50): In[4]: plt.imshow(I, cmap='gray'); Figure 4-50. A grayscale colormap All the available colormaps are in the plt.cm namespace; using IPython’s tab-comple...
#image.interpolation : bilinear # see help(imshow) for options #image.cmap : jet # gray | jet etc... #image.lut : 256 # the size of the colormap lookup table #image.origin : upper # lower | upper #image.resample : False
plt.colorbar(); plt.imshow(I, cmap='gray'); cmap的色系 viridis cubehelix RdBu jet 多个子图绘制 %matplotlib inlineimportmatplotlib.pyplotasplt plt.style.use('seaborn-white')importnumpyasnp#不同的水平轴ax1=plt.axes()# standard axesax2=plt.axes([0.65,0.65,0.2,0.2])#通过在图上增加水平坐标...
Installation If you don't already have itinstalled, do so using Pip or Anaconda: $ pip install matplotlib or $ conda install matplotlib If you have any issues with installation, there are other options. Check out the officialinstallation guide. ...