[Numpy-discussion] Using interpolate with zero-rank array raises error
Fri Jul 17 08:51:51 CDT 2009
> Date: Thu, 16 Jul 2009 23:37:58 -0400
> From: Ralf Gommers <email@example.com>
> It seems to me that there are quite a few other functions that will
> errors with 0-D arrays (apply_along/over_axis are two that come to
> There is nothing to interpolate so I'm not surprised.
Hmm, I don't quite understand. In the example below, the 0-D array
(`x0`) gives the x-value(s) where you want interpolated values. This
shouldn't require a non-scalar, and in fact, interp currently accepts
python scalars (but not Numpy scalars).
If the 0-D array replaced `x` and `y`---the known data points--- then,
I agree there would be nothing to interpolate. I believe the example
functions you cite are similar to replacing `x` and `y` below with
... or am I just missing something?
>>> When using interpolate with a zero-rank array, I get "ValueError:
>>> object of too small depth for desired array". The following code
>>> reproduces this issue
>>>>>> import numpy as np
>>>>>> x0 = np.array(0.1)
>>>>>> x = np.linspace(0, 1)
>>>>>> y = np.linspace(0, 1)
>>>>>> np.interp(x0, x, y)
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