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# scipy.interpolate.BivariateSpline.__call__

`BivariateSpline.``__call__`(x, y, mth=None, dx=0, dy=0, grid=True)

  Evaluate the spline or its derivatives at given positions.

  Parameters: | x, y : array_like Input coordinates. If grid is False, evaluate the spline at points `(x[i], y[i]), i=0, ..., len(x)-1`. Standard Numpy broadcasting is obeyed. If grid is True: evaluate spline at the grid points defined by the coordinate arrays x, y. The arrays must be sorted to increasing order. dx : int Order of x-derivative New in version 0.14.0. dy : int Order of y-derivative New in version 0.14.0. grid : bool Whether to evaluate the results on a grid spanned by the input arrays, or at points specified by the input arrays. New in version 0.14.0. mth : str Deprecated argument. Has no effect.