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Original file line number Diff line number Diff line change 66Comparison of a contour plot of irregularly spaced data interpolated
77on a regular grid versus a tricontour plot for an unstructured triangular grid.
88
9- Since :meth: `~.axes.Axes.contour` and :meth: `~.axes.Axes.contourf` expect the
10- data to live on a regular grid, plotting a contour plot of irregularly spaced
11- data requires different methods. The two options are:
9+ Since `~.axes.Axes.contour` and `~.axes.Axes.contourf` expect the data to live
10+ on a regular grid, plotting a contour plot of irregularly spaced data requires
11+ different methods. The two options are:
1212
13- * Interpolate the data to a regular grid first. This can be done with on-borad
13+ * Interpolate the data to a regular grid first. This can be done with on-board
1414 means, e.g. via `~.tri.LinearTriInterpolator` or using external functionality
15- e.g. via `scipy.interpolate.griddata`. Then plot the
16- interpolated data with the usual :meth:`~.axes.Axes.contour`.
17- * Directly use :meth:`~.axes.Axes.tricontour` or
18- :meth:`~.axes.Axes.tricontourf` which will perform a triangulation
19- internally.
15+ e.g. via `scipy.interpolate.griddata`. Then plot the interpolated data with
16+ the usual `~.axes.Axes.contour`.
17+ * Directly use `~.axes.Axes.tricontour` or `~.axes.Axes.tricontourf` which will
18+ perform a triangulation internally.
2019
2120This example shows both methods in action.
2221"""
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