Python 中的距离欧几里得

Question

I am trying to compute the distance between a list of coordinates and one coordinate named cord .

The expected result is a list with all distance between the i-th element of the list of coordinates and the cord.

Example:

I have a DataFrame df which has a column Geo_Shape with a list of list. And I need to compute a list with distance of all elements of this list with cord.

Geo_Shape	Name
[ [1.2,2.3], [0.3,1.7], [3.2,9.1] ]	try

cord = [1.2,5.3]

Code

I try do run this code

df['Geo_Shape'].apply(lambda x: np.linalg.norm(x - [cord]*len(x), axis=1))

But i have this errors:

TypeError: unsupported operand type(s) for -: 'list' and 'list'

Someone know howto fix it?

Thanks for your help!

Answer 1

You need to convert x of numpy.linalg.norm into numpy.ndarray :

df['Geo_Shape'].apply(lambda x: np.linalg.norm(np.array(x) - cord, axis=1))

Output:

0    [3.0, 3.7107950630558943, 4.294182110716777]
Name: Geo_Shape, dtype: object

Answer 2

Thanks for your help!

when i try:

df['Geo_Shape'].apply(lambda x: np.linalg.norm(np.array(x) - cord, axis=1))

i have this errors:

TypeError: unsupported operand type(s) for -: 'list' and 'float'

so i try this:

df['Geo_Shape'].apply(lambda x: np.linalg.norm(np.array(x) - np.array([cord]*len(x)), axis=1))

And still the same error!

Do you knows what's wrong?