In Python, the norm() function is one of the methods used to calculate the norm (or length) of a vector and can be used for one-dimensional arrays, two-dimensional arrays and multi-dimensional arrays.
In Python, the norm() function is one of the methods used to calculate the norm (or length) of a vector. It can be used for one-dimensional arrays, two-dimensional arrays and multi-dimensional arrays. The specific usage of norm() function is as follows:
1. For one-dimensional array:
Syntax: numpy.linalg.norm(x, ord=None, axis= None, keepdims=False)
Parameters:
x: One-dimensional array.
ord: Norm calculation method, the default is None, which means calculating 2-norm. Commonly used values are 1, 2 and infinity (np.inf).
axis: Specify the axis for calculating the norm. The default is None, which means calculating the norm of the entire array.
keepdims: Whether to keep the output dimensions. The default is False, which means not to keep it.
Return value: calculated norm value.
2. For two-dimensional arrays:
Syntax: numpy.linalg.norm(x, ord=None, axis=None, keepdims=False)
Parameters:
x: two-dimensional array.
ord: The calculation method of the norm, the default is None, which means calculating the Frobenius norm (the square root of the sum of the squares of the matrix elements).
axis: Specify the axis for calculating the norm. The default is None, which means calculating the norm of the entire array.
keepdims: Whether to keep the output dimensions. The default is False, which means not to keep it.
Return value: calculated norm value.
3. For multi-dimensional arrays:
Syntax: numpy.linalg.norm(x, ord=None, axis=None, keepdims=False)
Parameters:
x: multidimensional array.
ord: The calculation method of the norm, the default is None, which means calculating the Frobenius norm.
axis: Specify the axis for calculating the norm. The default is None, which means calculating the norm of the entire array.
keepdims: Whether to keep the output dimensions. The default is False, which means not to keep it.
Return value: calculated norm value.
Norm is a method used to measure the size of a vector or matrix. It can be used to calculate distance, similarity, etc. In practical applications, the appropriate norm calculation method can be selected according to specific needs.
The above is the detailed content of Detailed explanation of the usage of norm function in python. For more information, please follow other related articles on the PHP Chinese website!