In simple terms, Euclidean distance is the shortest between the 2 points irrespective of the dimensions. In this article to find the Euclidean distance, we will use the NumPy library. This library used for manipulating multidimensional array in a very efficient way. Let’s discuss a few ways to find Euclidean distance by NumPy library.
Method #1: Using linalg.norm()
Method #2: Using dot()
Method #3: Using square() and sum()
Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.
To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course.
- Pandas - Compute the Euclidean distance between two series
- Calculate distance and duration between two places using google distance matrix API in Python
- Python | Calculate Distance between two places using Geopy
- Python | Calculate City Block Distance
- Calculate the average, variance and standard deviation in Python using NumPy
- Calculate inner, outer, and cross products of matrices and vectors using NumPy
- How to calculate the difference between neighboring elements in an array using NumPy
- How to Calculate the determinant of a matrix using NumPy?
- Calculate the QR decomposition of a given matrix using NumPy
- Calculate the difference between the maximum and the minimum values of a given NumPy array along the second axis
- Calculate the sum of the diagonal elements of a NumPy array
- Calculate exp(x) - 1 for all elements in a given NumPy array
- Calculate the sum of all columns in a 2D NumPy array
- Calculate average values of two given NumPy arrays
- How to calculate the element-wise absolute value of NumPy array?
- Calculate the mean across dimension in a 2D NumPy array
- Python | Numpy numpy.resize()
- Python | Numpy numpy.transpose()
- Python | Numpy numpy.ndarray.__lt__()
- Python | Numpy numpy.ndarray.__gt__()
If you like GeeksforGeeks and would like to contribute, you can also write an article using contribute.geeksforgeeks.org or mail your article to firstname.lastname@example.org. See your article appearing on the GeeksforGeeks main page and help other Geeks.
Please Improve this article if you find anything incorrect by clicking on the "Improve Article" button below.