Flip array in the up/down direction. Flip the entries in each column in the up/down direction. Rows are preserved, but appear in a different order than before. Equivalent tom[::-1,...]. Does not require the array to be two-dimensional. >>> A = np.diag([1.0, 2, 3])>>>A arr...
Flip array in the left/right direction. Flip the entries in each row in the left/right direction. Columns are preserved, but appear in a different order than before. See also flipud Flip array in the up/down direction. rot90 Rotate array counterclockwise. Notes Equivalent to m[:,::-1]. ...
FLIP_LEFT_RIGHT) #左右对换。 image.transpose(Image.FLIP_TOP_BOTTOM) #上下对换。 Filter from PIL import Image, ImageFilter im = Image.open('./images/new.png') # 高斯模糊 im.filter(ImageFilter.GaussianBlur) # 普通模糊 im.filter(ImageFilter.BLUR) # 边缘增强 im.filter(ImageFilter.EDGE_...
double', 'ceil', 'cfloat', 'char', 'character', 'chararray', 'choose', 'clip', 'clongdouble', 'clongfloat', 'column_stack', 'common_type', 'compare_chararrays', 'compat', 'complex', 'complex128', 'complex64', 'complex_', 'complexfloating', 'compress', 'concatenate', 'conj...
(left=0, right=4,top=2,bottom=0, hspace=.2,wspace=.1) ax = plt.subplot(gs[0, 0]) ax.set_title("Chirp - "+type_+" ({}Hz to {}Hz)".format(f0,f1)) ax.plot(time,w1) ax.set_xlabel("Time(s)") ax.set_ylabel("Amplitude") ax1 = plt.subplot(gs[0, 1]) ax1.plot(f...
# f is basically Truewiththe exceptionoftwo islands:oneinthe lower-right # corner,another,middle-left dmap=mh.distance(f)p.imshow(dmap)p.show() 4、Scikit-Image Scikit-Image建立在Scikit-Learn机器学习库的基础上的扩展功能,包括更高级的图像处理能力。所以如果已经在使用Scikit进行ML,那么可以考虑使用这...
主要是为了计算方便 Mat kernelFlip; flip(kernel, kernelFlip,-1); // 第二步才开始计算 filter2D(src,dst, ddepth, kernelFlip, achor,0.0, borderType); //InputArray src, OutputArray dst, int ddepth, // InputArray kernel, Point anchor = Point(-1, -1), // double delta = 0, int ...
coin = random_.randint(1,2) # flip coin if coin == HEAD: positions[p] += 1 # step to the right elif coin == TAIL: positions[p] -= 1 # step to the left plot(positions, y, 'ko3', axis=[xmin, xmax, -0.2, 0.2])
5. NumPy array reverse Python using fliplr() function Thefliplr() functionflips arrays horizontally (left/right). And this is how NumPy reverse array in Python uses the fliplr() function. import numpy as np votes = np.array([[300, 250], [400, 350]]) ...
barbs(data['x'], data['y'], data['u'], data['v'], flagcolor='r', barbcolor=['b', 'g'], flip_barb=True, barb_increments=dict(half=10, full=20, flag=100)) # Masked arrays are also supported masked_u = np.ma.masked_array(data['u']) masked_u[4] = 1000 # Bad value...