BivariateSpline#
- class scipy.interpolate.BivariateSpline[source]#
- Base class for bivariate splines. - This describes a spline - s(x, y)of degrees- kxand- kyon the rectangle- [xb, xe] * [yb, ye]calculated from a given set of data points- (x, y, z).- This class is meant to be subclassed, not instantiated directly. To construct these splines, call either - SmoothBivariateSplineor- LSQBivariateSplineor- RectBivariateSpline.- Methods - __call__(x, y[, dx, dy, grid])- Evaluate the spline or its derivatives at given positions. - ev(xi, yi[, dx, dy])- Evaluate the spline at points - Return spline coefficients. - Return a tuple (tx,ty) where tx,ty contain knots positions of the spline with respect to x-, y-variable, respectively. - Return weighted sum of squared residuals of the spline approximation: sum ((w[i]*(z[i]-s(x[i],y[i])))**2,axis=0) - integral(xa, xb, ya, yb)- Evaluate the integral of the spline over area [xa,xb] x [ya,yb]. - partial_derivative(dx, dy)- Construct a new spline representing a partial derivative of this spline. - See also - UnivariateSpline
- a smooth univariate spline to fit a given set of data points. 
- SmoothBivariateSpline
- a smoothing bivariate spline through the given points 
- LSQBivariateSpline
- a bivariate spline using weighted least-squares fitting 
- RectSphereBivariateSpline
- a bivariate spline over a rectangular mesh on a sphere 
- SmoothSphereBivariateSpline
- a smoothing bivariate spline in spherical coordinates 
- LSQSphereBivariateSpline
- a bivariate spline in spherical coordinates using weighted least-squares fitting 
- RectBivariateSpline
- a bivariate spline over a rectangular mesh. 
- bisplrep
- a function to find a bivariate B-spline representation of a surface 
- bisplev
- a function to evaluate a bivariate B-spline and its derivatives