本文整理汇总了Python中scipy.interpolate._isscalar方法的典型用法代码示例。如果您正苦于以下问题：Python interpolate._isscalar方法的具体用法？Python interpolate._isscalar怎么用？Python interpolate._isscalar使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类scipy.interpolate的用法示例。
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示例1: _akima_interpolate
# 需要导入模块: from scipy import interpolate [as 别名]
# 或者: from scipy.interpolate import _isscalar [as 别名]
def _akima_interpolate(xi, yi, x, der=0, axis=0):
"""
Convenience function for akima interpolation.
xi and yi are arrays of values used to approximate some function f,
with ``yi = f(xi)``.
See `Akima1DInterpolator` for details.
Parameters
----------
xi : array_like
A sorted list of x-coordinates, of length N.
yi : array_like
A 1-D array of real values. `yi`'s length along the interpolation
axis must be equal to the length of `xi`. If N-D array, use axis
parameter to select correct axis.
x : scalar or array_like
Of length M.
der : int or list, optional
How many derivatives to extract; None for all potentially
nonzero derivatives (that is a number equal to the number
of points), or a list of derivatives to extract. This number
includes the function value as 0th derivative.
axis : int, optional
Axis in the yi array corresponding to the x-coordinate values.
See Also
--------
scipy.interpolate.Akima1DInterpolator
Returns
-------
y : scalar or array_like
The result, of length R or length M or M by R,
"""
from scipy import interpolate
try:
P = interpolate.Akima1DInterpolator(xi, yi, axis=axis)
except TypeError:
# Scipy earlier than 0.17.0 missing axis
P = interpolate.Akima1DInterpolator(xi, yi)
if der == 0:
return P(x)
elif interpolate._isscalar(der):
return P(x, der=der)
else:
return [P(x, nu) for nu in der]