#Load Libraryimport numpy as np#Create a vector as a Rowvector_row = np.array([ 1,2,3,4,5,6 ])#Create a Matrixmatrix = np.array([[1,2,3],[4,5,6],[7,8,9]])print(matrix)#Select 3rd element of Vectorprint(vector_row[2])#Select 2nd row 2nd columnprint(matrix[1,1])#Sel...
train_labels), (test_data, test_labels) = imdb.load_data(num_words=10000)910defvectorize_sequences(sequences, dimension=10000):11#Create an all-zero matrix of shape (len(sequences), dimension)12results =np.zeros((len(
window_size=9) coordinates_warped_subpix = corner_subpix(image_warped_gray, coordinates_warped, window_size=9) def gaussian_weights(window_ext, sigma=1): y, x = np.mgrid[-window_ext:window_ext+1, -window_ext:window_ext+1] g_w = np.zeros(y.shape, dtype = np.double) g_w[:] ...
调用crop()方法即可从一幅图像中进行区域拷贝,拷贝出区域后,可以对区域进行旋转等变换。 代码语言:javascript 代码运行次数:0 运行 AI代码解释 box=(100,100,400,400)region=pil_im.crop(box) 目标区域由四元组来指定,坐标依次为(左,上,右,下),PIL中指定坐标系的左上角坐标为(0,0),可以旋转后利用paste()...
Unit Root Test Thenullhypothesisofthe Augmented Dickey-Fuller is that there is a unit root,withthe alternative that there is no unit root.That is to say the bigger the p-value the more reason we assert that there is a unit root''' def testStationarity(ts): dftest = adfuller(ts) # ...
Create a 8x8 matrix and fill it with a checkerboard pattern (★☆☆) 创建一个8*8矩阵,并用棋盘图案填充 import numpy as npz = np.zeros((8,8),dtype=int)z[1::2,::2] = 1 # 从第 2 行开始,每隔一行,第 0 列开始,每隔一列赋值为 1z[::2,1::2] = 1 # 从第 0 行开始,每隔一行...
deftransform(self, X):"""将原始数据集 X 通过 PCA 进行降维"""covariance = calculate_covariance_matrix(X) # 求解特征值和特征向量self.eigen_values, self.eigen_vectors = np.linalg.eig(covariance) # 将特征值从大到小...
(), data.d.max()) # square matrix result = np.zeros((N, N), dtype=np.float32) for (row, col), v in avg.items(): row, col = row - 1, col -1 # index start from 0 if row == col: continue # diagonal set to 0 result[row][col] = result[col][row] = v # symmetric...
linalg.inv(matrix_1) for j in range(N-1,-1,-1): #隐式也是时间倒推循环,区别在于隐式是要解方程组 # 准备好解方程组 M_1 * fj = M_2 * fj+1 + b_1 # Z是对边界条件的处理 Z = np.zeros_like(V_grid[1:M,j + 1]) Z[0] = aj(1) * (V_grid[0,j] + V_grid[0,j+1...
def MatrixGenerator(a,b,c,theta_x, theta_y, theta_z): "description:" "create a matrix using to rotate and strech" "Parameter" "x,y,z:how many times strech along the initial x , y,z axis" "theta_x, theta_y, theta_z:the angle rotated around x ,y ,z axis" theta = np.arra...