numpy.greater_equal(x1, x2, args, kwargs) Return the truth value of (x1 >= x2) element-wise. numpy.equal numpy.equal(x1, x2, args, kwargs) Return (x1 == x2) element-wise. numpy.not_equal numpy.not_equal(x1, x2, args, kwargs) Return (x1 != x2) element-wise. ...
官方解释: Compute bit-wise inversion, or bit-wise NOT, element-wise. Computes the bit-wise NOT of the underlying binary representation of the integers in the input arrays. For signed integer inputs, the two’s complement is returned. In a two’s-complement system negative numbers are represe...
复制 >>> A = np.array([[1, 1], ... [0, 1]]) >>> B = np.array([[2, 0], ... [3, 4]]) >>> A * B # elementwise product array([[2, 0], [0, 4]]) >>> A @ B # matrix product array([[5, 4], [3, 4]]) >>> A.dot(B) # another matrix product array...
print(np.subtract(matrix_1,matrix_2)) #Multiplication(Element wise, not Dot Product) print(matrix_1*matrix_2) 4.17 求矩阵的逆运算 #Load Library import numpy as np #Create a Matrix matrix = np.array([[1,2,3],[4,5,6],[7,8,9]]) print(matrix) #Calculate its inverse print(np.lin...
# create a dataframedframe = pd.DataFrame(np.random.randn(4, 3), columns=list('bde'), index=['India', 'USA', 'China', 'Russia'])#compute a formatted string from each floating point value in framechangefn = lambda x: '%.2f' % x# Make...
logical_not Compute truth value of not x element-wise (equivalent to ~arr). 二元通用函数 add Add corresponding elements in arrays subtract Subtract elements in second array from first array multiply Multiply array elements divide, floor_divide Divide or floor divide (truncating the remainder) ...
>>> A = array( [[1,1],... [0,1]] )>>> B = array( [[2,0],... [3,4]] )>>> A*B# elementwise product array([[2,0], [0,4]])>>> dot(A,B)# matrix product array([[5,4], [3,4]]) 有些操作符像*=被用来更改已存在数组而不创建一个新的数组。
σ是element-wise 激活函数,上标T表示矩阵的转置。 def activation(input_, act_func): if act_func == 'relu': return np.maximum(input_,np.zeros(input_.shape)) elif act_func == 'linear': return input_ else: raiseException('Activation function is not defined.') def forward_prop(input_vec...
# create a dataframedframe = pd.DataFrame(np.random.randn(4, 3), columns=list('bde'),index=['India', 'USA', 'China', 'Russia'])#compute a formatted string from eachfloating point value in framechangefn = lambda x: '%.2f' % x# Make changes element-wisedframe['d'].map(change...
在大神麦金尼的著作中,对 np.logical_and、np.logical_or、np.logical_xor 三个二元通用函数的说明是:Computer element_wise true value of logical operateion (equivalent to infix operators & , |, ^ 代码体验示例: In [1]: import numpy as np ...