It's Matt. Sorry it took me so long to get into it, but I have a chargeline now, so I am enabled!!
I am trying to use Spline.fit and first call (finding midpoint) passes me a tuple and thereafter a np.ndarray. I am fine with either, but think UX is better if we don't need to convert.
Thanks, guy....more to come! Best,
Matt
`import bspy as bs
import numpy as np
def f(x: np.ndarray) -> np.ndarray:
print(x)
try:
return np.asarray([x, x2, x3]).T
except Exception as e:
_ = np.asarray([x, x 2, x 3]).T
if name == 'main':
gamma = bs.Spline.fit(
domain=np.asarray([[0, 1]]).astype(np.float64),
f=f,
Hi Eric & Tom,
It's Matt. Sorry it took me so long to get into it, but I have a chargeline now, so I am enabled!!
I am trying to use
Spline.fitand first call (finding midpoint) passes me atupleand thereafter anp.ndarray. I am fine with either, but think UX is better if we don't need to convert.Thanks, guy....more to come! Best, Matt
`import bspy as bs import numpy as np
def f(x: np.ndarray) -> np.ndarray: print(x) try: return np.asarray([x, x2, x3]).T except Exception as e: _ = np.asarray([x, x 2, x 3]).T
if name == 'main': gamma = bs.Spline.fit( domain=np.asarray([[0, 1]]).astype(np.float64), f=f,
order=np.asarray([3]),
[0.5] (np.float64(0.0),) `