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ParametersReturnsBackRef
polyline(off, scl)

Parameters

off, scl : scalars

The "y-intercept" and "slope" of the line, respectively.

Returns

y : ndarray

This module's representation of the linear polynomial off + scl*x .

Returns an array representing a linear polynomial.

See Also

numpy.polynomial.chebyshev.chebline
numpy.polynomial.hermite.hermline
numpy.polynomial.hermite_e.hermeline
numpy.polynomial.laguerre.lagline
numpy.polynomial.legendre.legline

Examples

>>> from numpy.polynomial import polynomial as P
... P.polyline(1,-1) array([ 1, -1])
>>> P.polyval(1, P.polyline(1,-1)) # should be 0
0.0
See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

numpy.polynomial.hermite_e.hermeline numpy.polynomial.hermite.hermline numpy.polynomial.legendre.legline numpy.polynomial.laguerre.lagline numpy.polynomial.chebyshev.chebline

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 : /numpy/polynomial/polynomial.py#113
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