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Method interpolate

xarray/core/resample.py:210–238  ·  view source on GitHub ↗

Interpolate up-sampled data using the original data as knots. Parameters ---------- kind : {"linear", "nearest", "zero", "slinear", \ "quadratic", "cubic", "polynomial"}, default: "linear" The method used to interpolate. The method should be suppo

(self, kind: InterpOptions = "linear", **kwargs)

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208 )
209
210 def interpolate(self, kind: InterpOptions = "linear", **kwargs) -> T_Xarray:
211 """Interpolate up-sampled data using the original data as knots.
212
213 Parameters
214 ----------
215 kind : {"linear", "nearest", "zero", "slinear", \
216 "quadratic", "cubic", "polynomial"}, default: "linear"
217 The method used to interpolate. The method should be supported by
218 the scipy interpolator:
219
220 - ``interp1d``: {"linear", "nearest", "zero", "slinear",
221 "quadratic", "cubic", "polynomial"}
222 - ``interpn``: {"linear", "nearest"}
223
224 If ``"polynomial"`` is passed, the ``order`` keyword argument must
225 also be provided.
226
227 Returns
228 -------
229 interpolated : DataArray or Dataset
230
231 See Also
232 --------
233 DataArray.interp
234 Dataset.interp
235 scipy.interpolate.interp1d
236
237 """
238 return self._interpolate(kind=kind, **kwargs)
239
240 def _interpolate(self, kind="linear", **kwargs) -> T_Xarray:
241 """Apply scipy.interpolate.interp1d along resampling dimension."""

Calls 1

_interpolateMethod · 0.95