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Attributes

_y_axis :

Axis along which the interpolation goes in the original array

_y_extra_shape :

Additional trailing shape of the input arrays, excluding the interpolation axis.

dtype :

Dtype of the y-data arrays. Can be set via _set_dtype, which forces it to be float or complex.

Deal with input data type and interpolation axis rolling. The actual interpolator can assume the y-data is of shape (n, r) where n is the number of x-points, and r the number of variables, and use self.dtype as the y-data type.

Methods

Common features in univariate interpolation

Examples

See :

Local connectivity graph

Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.

Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)

SVG is more flexible but power hungry; and does not scale well to 50 + nodes.

All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them


GitHub : /scipy/interpolate/_polyint.py#15
type: <class 'type'>
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