interp¶
-
metpy.calc.
interp
(x, xp, *args, **kwargs)[source]¶ Interpolates data with any shape over a specified axis.
Interpolation over a specified axis for arrays of any shape.
Parameters: - x (array-like) – 1-D array of desired interpolated values.
- xp (array-like) – The x-coordinates of the data points.
- args (array-like) – The data to be interpolated. Can be multiple arguments, all must be the same shape as xp.
- axis (int, optional) – The axis to interpolate over. Defaults to 0.
- fill_value (float, optional) – Specify handling of interpolation points out of data bounds. If None, will return ValueError if points are out of bounds. Defaults to nan.
Returns: array-like – Interpolated values for each point with coordinates sorted in ascending order.
Examples
>>> x = np.array([1., 2., 3., 4.]) >>> y = np.array([1., 2., 3., 4.]) >>> x_interp = np.array([2.5, 3.5]) >>> metpy.calc.interp(x_interp, x, y) array([2.5, 3.5])
Notes
xp and args must be the same shape.
Deprecated since version 0.9.0: Function has been renamed interpolate_1d and moved to
metpy.interpolate
, and will be removed from MetPy in 0.12.0.