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Backport PR #12776 on branch v3.0.x (Fix typo in example (on-borad -> on-board).) #12777

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Nov 8, 2018
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Backport PR #12776 on branch v3.0.x (Fix typo in example (on-borad -> on-board).) #12777

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17 changes: 8 additions & 9 deletions examples/images_contours_and_fields/irregulardatagrid.py
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Expand Up @@ -6,17 +6,16 @@
Comparison of a contour plot of irregularly spaced data interpolated
on a regular grid versus a tricontour plot for an unstructured triangular grid.

Since :meth:`~.axes.Axes.contour` and :meth:`~.axes.Axes.contourf` expect the
data to live on a regular grid, plotting a contour plot of irregularly spaced
data requires different methods. The two options are:
Since `~.axes.Axes.contour` and `~.axes.Axes.contourf` expect the data to live
on a regular grid, plotting a contour plot of irregularly spaced data requires
different methods. The two options are:

* Interpolate the data to a regular grid first. This can be done with on-borad
* Interpolate the data to a regular grid first. This can be done with on-board
means, e.g. via `~.tri.LinearTriInterpolator` or using external functionality
e.g. via `scipy.interpolate.griddata`. Then plot the
interpolated data with the usual :meth:`~.axes.Axes.contour`.
* Directly use :meth:`~.axes.Axes.tricontour` or
:meth:`~.axes.Axes.tricontourf` which will perform a triangulation
internally.
e.g. via `scipy.interpolate.griddata`. Then plot the interpolated data with
the usual `~.axes.Axes.contour`.
* Directly use `~.axes.Axes.tricontour` or `~.axes.Axes.tricontourf` which will
perform a triangulation internally.

This example shows both methods in action.
"""
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