December 2017
Intermediate to advanced
386 pages
10h 42m
English
Content preview from SciPy Recipes
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How to do it…
The following parameters represent the parameter of the functions of the functions for two-dimensional data:
| Parameters |
x: array_like. The (n-dimensional) array to transform. shape: Tuple of ints, optional. The shape of the result. If both shape and axes (see as follows) are None, shape is x.shape; if shape is None but axes is not None, then shape is scipy.take(x.shape, axes, axis=0). If shape[i] >x.shape[i], the ith dimension is padded with zeros. If shape[i] < x.shape[i], the ith dimension is truncated to length shape[i]. axes: array_like of ints, optional. The axes of x (y if shape is not None) along which the transform is applied. overwrite_x: Boolean, optional. If True, the contents of x can be destroyed. Default is ... |
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