Re: _minimize_bfgs throws error: ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()

 Apologies.

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On Tue, Oct 6, 2020 at 9:12 AM Robert Kern <[email protected]> wrote:

> On Mon, Oct 5, 2020 at 3:23 PM Schuldei, Andreas <
> [email protected]> wrote:
>
>> thank you for your help. Now i rewrote the packing and unpacking and it
>> looks like this:
>>
>> (just to leave something working for posterity.) Is this as elegant as it
>> gets?
>>
> I would probably rearrange `data` to be (n, 3)-shaped so that the
> 3-vectors can remain (3,)-shaped instead of (3,1)-shaped (also, first axis
> being the "observation" axis is pretty conventional). Then the packing and
> unpacking get a little simpler.
>
> assert data.shape == (n, 3)
> center_point = data.mean(axis=0)
> guess_a_axis_vector = np.array([1.0, 0.0, 0.0])
> guess_b_axis_vector = np.array([0.0, 1.0, 0.0])
> guess_phases = np.array([0.0, 0.0])
> p0 = np.hstack([center_point, guess_a_axis_vector, guess_b_axis_vector,
> guess_phases])
>
> def ellipse_func(x, data):
>     center_point = x[0:3]
>     a_axis_vector = x[3:6]
>     b_axis_vector = x[6:9]
>     a_phase, b_phase = x[9:11]
>     t = ...
>     error = center_point + ... - data
>     error_sum = np.sum(error ** 2)
>     return error_sum
>
> --
> Robert Kern
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> [email protected]
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>

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