December 2017
Intermediate to advanced
386 pages
10h 42m
English
Content preview from SciPy Recipes
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How to do it…
Let's get started. In the following steps, we will explain how to compute a polynomial interpolation and the things we need to know:
They require the following parameters:
- points: An ndarray of floats, shape (n, D) data point coordinates. It can be either an array of shape (n, D) or a tuple of ndim arrays.
- values: An ndarray of float or complex shape (n,) data values.
- xi: A 2D ndarray of float or tuple of 1D array, shape (M, D). Points at which to interpolate data.
- method: A {'linear', 'nearest', 'cubic'}—This is an optional method of interpolation.
One of the nearest return value is at the data point closest to the point of interpolation. See NearestNDInterpolator for more details.
- linear tessellates the input point set ...
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