BUG: distance arg of np.gradient must be scalar, fix docstring #7618
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Fixups to docstring, and disallow non-scalars as the distance args to np.gradient. Fixes numpy#7548, fixes numpy#6847
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Thanks Allan. |
apbard
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Feb 22, 2017
This somehow reverts numpy#7618 and solves numpy#6847, numpy#7548 by implementing support for unevenly spaced data. Now the behaviour is similar to that of Matlab/Octave function. As argument it can take: 1. A single scalar to specify a sample distance for all dimensions. 2. N scalars to specify a constant sample distance for each dimension. i.e. `dx`, `dy`, `dz`, ... 3. N arrays to specify the coordinates of the values along each dimension of F. The length of the array must match the size of the corresponding dimension 4. Any combination of N scalars/arrays with the meaning of 2. and 3.
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Fixups to docstring, and disallow non-scalars as the distance args to
np.gradient.
Fixes #7548, fixes #6847