python-scipyHow can I calculate the Euclidean distance between two points using Python and SciPy?
The Euclidean distance between two points can be calculated using Python and SciPy. The following example code block will calculate the Euclidean distance between two points (x1, y1)
and (x2, y2)
:
from scipy.spatial import distance
x1 = 5
y1 = 6
x2 = 3
y2 = 4
euclidean_distance = distance.euclidean((x1, y1), (x2, y2))
print(euclidean_distance)
The output of this code will be:
2.8284271247461903
The code can be broken down into the following parts:
from scipy.spatial import distance
: This imports thedistance
module from SciPy.x1 = 5
andy1 = 6
: These set the x and y coordinates of the first point.x2 = 3
andy2 = 4
: These set the x and y coordinates of the second point.euclidean_distance = distance.euclidean((x1, y1), (x2, y2))
: This calculates the Euclidean distance between the two points.print(euclidean_distance)
: This prints the result of the calculation.
Helpful links
More of Python Scipy
- How do I create a 2D array of zeros using Python and NumPy?
- How can I use Python and SciPy to find the zeros of a function?
- How can I use Python Scipy to zoom in on an image?
- How do I create a zero matrix using Python and Numpy?
- How do I calculate a Jacobian matrix using Python and NumPy?
- How can I use Python and Numpy to zip files?
- How do I use Python XlsxWriter to write a NumPy array to an Excel file?
- How do I use Python Numpy to read and write Excel (.xlsx) files?
- How do I convert a Python Numpy array to a list?
- How do I check the version of Python Scipy I am using?
See more codes...