如果array_like当做like传入的话,必须保证创建的数组对象要适用于刚刚通过like传入的参数。 听起来就头大,这里可以简单任务like要和array_like要匹配 返回值:ndarray 给定shape,dtype,order条件下的数组 3、简单代码 import numpy as np # 创建填充数组 print(np.zeros(5)) ##
Array of zeros with the given shape, dtype, and order. Examples --- np.zeros(5) array([ 0., 0., 0., 0., 0.]) np.zeros((5,), dtype=) array([0, 0, 0, 0, 0]) np.zeros((2, 1)) array([[ 0.], [ 0.]]) s = (2,2) np.zeros(s) array([[ 0., 0.], [ 0...
zeros_like : Return an array of zeros with shape and type of input. ones_like : Return an array of ones with shape and type of input. empty_like : Return an empty array with shape and type of input. ones : Return a new array setting values to one. empty : Return a new uninitiali...
zeros_like : Return an array of zeros with shape and type of input. ones_like : Return an array of ones with shape and type of input. empty_like : Return an empty array with shape and type of input. ones : Return a new array setting values to one. empty : Return a new uninitiali...
zeros创建全0矩阵 eye创建单位矩阵 empty创建空矩阵(实际有值) import numpy as np a_ones = np.ones((3,4)) # 创建3*4的全1矩阵 print(a_ones) # 结果 [[ 1. 1. 1. 1.] [ 1. 1. 1. 1.] [ 1. 1. 1. 1.]] a_zeros = np.zeros((3,4)) # 创建3*4的全0矩阵 print(a_zeros...
np.zeros((5,), dtype=np.int)array([0, 0, 0, 0, 0])np.zeros((2, 1))array([[ 0.],[ 0.]])s = (2,2)np.zeros(s)array([[ 0., 0.],[ 0., 0.]])np.zeros((2,), dtype=[('x', 'i4'), ('y', 'i4')]) # custom dtype array([(0, 0), (0, 0)],dtype=[(...
# Create an array of all zeros p = np.zeros((3,3)) print(p) # Create an array of all ones q = np.ones((2,2)) print(q) # Create a constant array r = np.full((2,2), 4) print(r) # Create a 2x2 identity matrix ...
0])/std[0] x[1] = (x[1] - mu[1])/std[1] y = theta[0] + theta[1]*x[0] + theta[2]*x[1] print("Price of house:", y) x,y = load_data("house_price_data.txt")y = np.reshape(y, (46,1))x = np.hstack((np.ones((x.shape[0],1)), x))theta = np.zeros(...
array([[0,1], [2, 3], [4, 5]])>>> np.average(data, axis=1, weights=[1./4, 3./4]) array([0.75, 2.75, 4.75]) 4. 计算数组得到每一行或者每一列的和 (python sum columns of an array) https://stackoverflow.com/questions/13567345/how-to-calculate-the-sum-of-all-columns-of-...
# Global conductivity matrix and heat load vector.K = zeros((N_f, N))L = zeros((N_f,)).reshape(N_f, 1) #First elementconn = array([1, 2, 3])# The definition of the element, listing its nodeszconn = conn - 1# zero-based node indexesx =...