np.ndarray: The element-wise sum of the input arrays. """returnnp.add(x,y) 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 在这个示例中,我们定义了一个名为add的函数,它接受两个NumPy数组作为输入,并返回一个NumPy数组。在注释中,我们清楚地描述了函数的功能、输入参数和返回值类型。 注释示...
That means that we can add those two arrays up. 这意味着我们可以将这两个数组相加。 So I can type x plus y, which gives me a new array called z. 所以我可以输入x加y,这给了我一个新的数组,称为z。 In this case, the elements of z will be element-wise additions from the vectors x...
arange, isnan, allclose, logical_and, ones_like, zeros_like, where, delete, concatenate, vstack, hstack, transpose, meshgrid, shape, size, any, sum, dot, cross, outer, innerprod, einsum, angle, pi, exp, log, sinh, cosh, tanh, logaddexp, logsubexp, power, square, absolute, signum...
import numpy as np x = np.array([[1,2],[3,4]], dtype=np.float64) y = np.array([[5,6],[7,8]], dtype=np.float64) # Elementwise sum; both produce the array print(x + y) print(np.add(x, y)) # Elementwise difference; both produce the array print(x - y) print(np.s...
However, if there are just two arrays, then their ability to be broadcasted can be described with two short rules:When operating on two arrays, NumPy compares their shapes element-wise. It starts with the trailing dimensions and works its way forward. Two dimensions are compatible when: they ...
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 represented by th...
logical_not Compute truth value of not x element-wise. Equivalent to -arr. Table 4-4. Binary universal functions FunctionDescription add Add corresponding elements in arrays subtract Subtract elements in second array from first array multiply Multiply array elements divide, floor_divide Divide or flo...
arctan2(x1, x2[, out]) Element-wise arc tangent of x1/x2 choosing the quadrant correctly. degrees(x[, out]) 弧度求角度 radians(x[, out]) 角度求弧度 unwrap(p[, discont, axis]) Unwrap by changing deltas between values to 2*pi complement. deg2rad(x[, out]) 角度求弧度 rad2deg(x...
Converting the output of gradient(x, y, vector) to a NumPy array enables elementwise multiplication of the gradient elements by the learning rate, which isn’t necessary in the case of a single-variable function.Now apply your new version of gradient_descent() to find the regression line ...
power(arr,5) | Raise each array element to the 5th power #Vector Math#numpy向量计算 np.add(arr1,arr2) | Elementwise add arr2 to arr1 np.subtract(arr1,arr2) | Elementwise subtract arr2 from arr1 np.multiply(arr1,arr2) | Elementwise multiply arr1 by arr2 np.divide(arr1,arr2)...