pwtools.num.Interpol2D.get_min

Interpol2D.get_min(x0=None, **kwds)

Return [x,y] where z(x,y) = min(z) by minimizing z(x,y) w/ scipy.optimize.fmin().

Parameters:

x0 (sequence, length (2,), optional) – Initial guess. If None then use the data grid point with the smallest z value.

Returns:

[xmin, ymin]

Return type:

1d array (2,)