CoryKramer CoryKramer - 8 months ago 43
Python Question

Interpolate class objects

I have a simple

class as follows

class Point(object):
def __init__(self, x=0.0, y=0.0, z=0.0):
self.x = x
self.y = y
self.z = z

I would like to use
to interpolate these points as a function of time, e.g.

x,y,z = f(t)

However when I try the following small example

import numpy as np
from scipy.interpolate import interp1d

times = np.array([0.0, 0.1, 0.2])
points = np.array([Point(0.0, 0.0, 0.0),
Point(1.0, 1.0, 1.0),
Point(2.0, 2.0, 2.0)])

function = interp1d(times, points)

new_point = function(0.05)

I get the following error

Traceback (most recent call last):
File "D:/", line 31, in <module>
function = interp1d(times, points)
File "C:\long_path\scipy\interpolate\", line 439, in __init__
y = y.astype(np.float_)
TypeError: float() argument must be a string or a number, not 'Point'

I've also tried overloading the arithmetic operators for the
class (e.g.
) though that doesn't seem to help.

Is there a way I can use
with my class?


Since python object are internally dicts instead of contiguous buffer, numpy/scipy will fail to use certain methods when custom typed objects are inside numpy.ndarray.

A simple solution would be putting all Point inside one single ndarray with built-in type:

from __future__ import print_function
import numpy as np
import scipy.interpolate as sp_interp
points = np.array([[0.0, 0.0, 0.0],
                   [1.0, 1.0, 1.0],
                   [2.0, 2.0, 2.0]], dtype='float64')
times = np.linspace(0.,.2, len(points))

fn_interp = sp_interp.interp1d(times, points, axis=0)

If you are dedicated to class based approach, you might want to define custom dtype or make subclass of ndarray, as answered here