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Vectorize and document simple_linear_interpolation. #9860

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Merged
merged 1 commit into from
Nov 28, 2017

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anntzer
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@anntzer anntzer commented Nov 26, 2017

PR Summary

PR Checklist

  • Has Pytest style unit tests
  • Code is PEP 8 compliant
  • New features are documented, with examples if plot related
  • Documentation is sphinx and numpydoc compliant
  • Added an entry to doc/users/next_whats_new/ if major new feature (follow instructions in README.rst there)
  • Documented in doc/api/api_changes.rst if API changed in a backward-incompatible way

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@efiring efiring left a comment

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Nice!

result[i::steps] = delta * i + a0
result[steps::steps] = a1
"""
Resample an array with ``steps - 1`` points between each original point.
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suggestion: -> "between original point pairs." or "between consecutive original points."

return result
Parameters
----------
a : shape ``(N, ...)`` array-like
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I think this pretty much requires an array; it would fail with a list, and I think it would ignore the mask in a masked array.
Another question for my information: is this way of including shape info documented as standard, either in numpydoc or in our docs? If not, it might be easier to read and more concise with "array, (N, ...)". That way the kind of object comes first, followed by the additional shape info.

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A quick grep suggests that array, shape (...) is more common in the docs (and I agree it is more legible).
The previous implementation already required a to be an array so I don't think that's a problem.

@anntzer anntzer force-pushed the simple-linear-interp branch from a99b6e1 to 55c5a54 Compare November 26, 2017 22:32
@dstansby dstansby added this to the v2.2 milestone Nov 28, 2017
@dstansby dstansby merged commit a2cb05d into matplotlib:master Nov 28, 2017
@anntzer anntzer deleted the simple-linear-interp branch November 28, 2017 15:32
@QuLogic QuLogic modified the milestones: needs sorting, v2.2.0 Feb 12, 2018
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4 participants