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v0.3.0: streamscal, publication-quality streamlines over scalar fields

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@alexlib alexlib released this 04 Oct 13:20
· 8 commits to master since this release
v0.3.0
5a3c5d4

New: publication-quality streamlines over a scalar field.

  • ds.piv.streamscal() / graphics.streamscal(): smooth RdBu_r scalar field (vorticity by default) under dense black streamlines with small direction arrows, no axes or margins. Cubic-spline upsampling, NaN-aware smoothing, robust colour limits.
  • graphics.streamscal_panels(): several panels with a thin white gap and one shared colour scale.
  • Computing vorticity or divergence for the background no longer adds temporary variables to the input dataset.
  • README, visualization page, feature gallery and tutorial notebooks updated; example script examples/streamscal_separated_flow.py.
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