ENH: Improve multi-variable drag compatibility, regular-grid handling, and related tests/docs by MateusStano · Pull Request #927 · RocketPy-Team/RocketPy
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@@ -90,9 +90,13 @@ plotted as follows:
.. important::
The ``Function`` class only supports interpolation ``shepard`` and \ extrapolation ``natural`` for datasets higher than one dimension (more than \ one input). For datasets higher than one dimension (more than one input), the ``Function`` class supports interpolation ``linear``, ``shepard``, ``rbf`` and ``regular_grid``.
The ``regular_grid`` interpolation requires a complete Cartesian grid and must be provided as ``(axes, grid_data)``. See the ``Function`` API documentation for details.
CSV File ^^^^^^^^ Expand Down Expand Up @@ -183,7 +187,7 @@ In this section we are going to delve deeper on ``Function`` creation and its pa - source: the ``Function`` data source. We have explored this parameter in the section above; - inputs: a list of strings containing each input variable name. If the source only has one input, may be abbreviated as a string (e.g. "speed (m/s)"); - outputs: a list of strings containing each output variable name. If the source only has one output, may be abbreviated as a string (e.g. "total energy (J)"); - interpolation: a string that is the interpolation method to be used if the source is a dataset. Defaults to ``spline``; - interpolation: a string that is the interpolation method to be used if the source is a dataset. For N-D datasets, supported options are ``linear``, ``shepard``, ``rbf`` and ``regular_grid``. Defaults to ``spline`` for 1-D and ``shepard`` for N-D datasets; - extrapolation: a string that is the extrapolation method to be used if the source is a dataset. Defaults to ``constant``; - title: the title to be shown in the plots.
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.. important::
The ``Function`` class only supports interpolation ``shepard`` and \ extrapolation ``natural`` for datasets higher than one dimension (more than \ one input). For datasets higher than one dimension (more than one input), the ``Function`` class supports interpolation ``linear``, ``shepard``, ``rbf`` and ``regular_grid``.
The ``regular_grid`` interpolation requires a complete Cartesian grid and must be provided as ``(axes, grid_data)``. See the ``Function`` API documentation for details.
CSV File ^^^^^^^^ Expand Down Expand Up @@ -183,7 +187,7 @@ In this section we are going to delve deeper on ``Function`` creation and its pa - source: the ``Function`` data source. We have explored this parameter in the section above; - inputs: a list of strings containing each input variable name. If the source only has one input, may be abbreviated as a string (e.g. "speed (m/s)"); - outputs: a list of strings containing each output variable name. If the source only has one output, may be abbreviated as a string (e.g. "total energy (J)"); - interpolation: a string that is the interpolation method to be used if the source is a dataset. Defaults to ``spline``; - interpolation: a string that is the interpolation method to be used if the source is a dataset. For N-D datasets, supported options are ``linear``, ``shepard``, ``rbf`` and ``regular_grid``. Defaults to ``spline`` for 1-D and ``shepard`` for N-D datasets; - extrapolation: a string that is the extrapolation method to be used if the source is a dataset. Defaults to ``constant``; - title: the title to be shown in the plots.
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