# 10 examples of 'numpy linalg norm' in Python

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``50def norm(vec):51    """ Calculate norm of a vector or list thereof5253    Args:54        vec (Vector or List[Vector]): vector(s) to compute norm of5556    Returns:57        Scalar or List[Scalar]: norms58    """59    if len(vec.shape) == 1:  # it's just a single column vector60        return np.sqrt(vec.dot(vec))61    else:  # treat as list of vectors62        return np.sqrt((vec*vec).sum(axis=1))``
``69def norm2(arr):70    """Returns 1/2 the L2 norm squared."""71    return sdot(arr, arr) / 2``
``81def norm_1(array):82    return np.linalg.norm(array, ord=1)``
``45def l2_norm(a):46  ''' Scalar value of word frequency array (vector)'''47  return math.sqrt(dot(a, a))``
``186def norm(self):187    """188    Return the norm of the vector.189    190    :rtype: :class:`float`191    """192    return sqrt(dot(self, self))``
``5def norm(vec, axis=None):6    return np.sqrt(np.sum(vec**2, axis=axis))``
``71def norm(v):72    """Returns an L2 norm of the vector."""73    return math.sqrt(numpy.sum((numpy.array(v)**2).flat))``
``1138def norm(a):11391140    return sqrt(scalar_product(a, a))``
``63def norm(v):64    squares = [float(x) * float(x) for x in v]65    total = sum(squares)66    sqrt = math.sqrt(total)67    return sqrt``
``40@staticmethod41def norm(X):42    """43    Find the frobenius norm of a sparse matrix X44    """45    elements = X.data46    return numpy.sqrt((elements**2).sum())``