Python

Complete the function below distance_from_origin(points) that calculates the distance from the origin for a numpy array of points whose shape is (n, 2) where n is any arbitrary number of points. Return a numpy array of distances where each element in the array corresponds to the distance from the origin for the respective point in the points array. Reminder that the distance for a point (x1,y1)(x1,y1) from the origin can be defined as: d=((x1)^2+(y1)^2). For example if points = [[2, 2], [3, 2]], then the resulting distance array would be [2.828427, 3.605551]. This is because applying the distance formula on [2, 2] would result in 88 which is approximately 2.828427, and similarly for [3, 2], the distance would be 1313 which is approximately 3.605551. Set result equal to the return value and return result.

def distance_from_origin(points):

%matplotlib inline

# plotting tools import numpy as np from scipy.spatial.distance import cdist import matplotlib.pyplot as plt from nose.tools import assert_equal, assert_true, assert_almost_equal from numpy.testing import assert_array_almost_equal

""" Returns an array of distances from the origin for all points. Parameters ---------- points: numpy array of float64 Returns ------- numpy.array of float64 """ result = None # YOUR CODE HERE return result