plt.imshow(a,cmap='viridis',interpolation='nearest') plt.yticks([]) plt.xticks(range(n)) # Viridis映射,无混合 plt.title('Viridis color map, no blending',y=1.02,fontsize=12) # 第三张图展示使用viridis颜色映射的图像,并且使用了双立方插值方法进行颜色混合 plt.subplot(133) plt.imshow(a,cmap...
class matplotlib.image.BboxImage(bbox, cmap=None, norm=None, interpolation=None, origin=None, filternorm=1, filterrad=4.0, resample=False, interp_at_native=True, **kwargs) 基类:matplotlib.image._ImageBase 其大小由给定bbox确定的图像类。 CMAP是一种颜色。颜色映射实例norm是一种颜色。规范化实例...
下面的代码展示了如何使用Matplotlib创建一个热度图,并将随机数据进行可视化: importnumpyasnpimportmatplotlib.pyplotasplt# 随机数据生成data=np.random.rand(10,12)# 创建热度图plt.imshow(data,cmap='viridis',interpolation='nearest')plt.colorbar()# 显示颜色条plt.title('随机热度图')plt.xlabel('列')plt....
plt.imshow(vect, cmap=cmap, interpolation='nearest', vmin=min_value, vmax=max_value, extent=[0, dim_y,0, dim_x])# lanczos nearestplt.colorbar()# print(i)plt.title("%.6d"%i) figure_name = os.path.join('sff','%.6d.png'%i) plt.savefig(figure_name) plt.close() 开发者ID:chra...
get(lower= lower, upper = upper), origin="lower",interpolation='nearest', extent=[self.start,self.end-1,lower,upper-1],cmap=cm.get_cmap('Greys')) plt.xlabel(self.chrom) plt.ylabel("Insert size") if title: plt.title(title) #plt.colorbar(shrink=0.8) if filename: fig.savefig(file...
defmain():plt.register_cmap(name='viridis', cmap=cmaps.viridis) fig = plt.figure() ax = fig.gca(projection='3d') X = np.linspace(0.1,20, num=50) Y = np.linspace(0.1,20, num=50) Z = np.array([0.]*X.shape[0]*Y.shape[0]) ...
importnumpyasnpimportmatplotlib.pyplotasplt# 生成随机数据data=np.random.rand(10,10)# 创建热图plt.imshow(data,cmap='viridis',interpolation='nearest')plt.colorbar()# 添加颜色条plt.title('CMap风格热图示例')plt.show() 1. 2. 3. 4. 5. ...
img1 = ax.imshow(img, interpolation ="nearest", extent = extent) ax.imshow(np.array(instance["attentions"]["kb"][step]).reshape(imageDims), cmap = plt.get_cmap(args.cmap), interpolation ="bicubic", extent = extent) ax.set_axis_off() ...