python Programming Glossary: scipy.interpolate

http://stackoverflow.com/questions/10364201/image-transformation-in-opencv

result after warping And here is the code import cv2 from scipy.interpolate import griddata import numpy as np grid_x grid_y np.mgrid 0..

Python 4D linear interpolation on a rectangular grid

http://stackoverflow.com/questions/14119892/python-4d-linear-interpolation-on-a-rectangular-grid

space and time within the data bounds. I have tried using scipy.interpolate.LinearNDInterpolator but using Qhull for triangulation is inefficient.. here Here's the code I've been using to test this Using scipy.interpolate.LinearNDInterpolator import numpy as np from scipy.interpolate.. import numpy as np from scipy.interpolate import LinearNDInterpolator lats np.arange 90 90.5 0.5 lons..

plotting a smooth curve in matplotlib graphs

http://stackoverflow.com/questions/14705062/plotting-a-smooth-curve-in-matplotlib-graphs

import import numpy from scipy import interpolate from scipy.interpolate import spline #passing the filename root_grp Dataset 'C Python27..

Is there easy way in python to extrapolate data points to the future?

http://stackoverflow.com/questions/1599754/is-there-easy-way-in-python-to-extrapolate-data-points-to-the-future

d data with scipy UnivariateSpline import numpy as np from scipy.interpolate import UnivariateSpline # pydoc scipy.interpolate.UnivariateSpline.. np from scipy.interpolate import UnivariateSpline # pydoc scipy.interpolate.UnivariateSpline fitpack unclear from datetime import date from.. print dayswanted dayswanted title extrapolation with scipy.interpolate.UnivariateSpline plot days values o for k in 1 2 3 # line parabola..

Adding water flow arrows to Matplotlib Contour Plot

http://stackoverflow.com/questions/16529892/adding-water-flow-arrows-to-matplotlib-contour-plot

random point observations of head import numpy as np from scipy.interpolate import Rbf import matplotlib.pyplot as plt # Make data repeatable..

Peak-finding algorithm for Python/SciPy

http://stackoverflow.com/questions/1713335/peak-finding-algorithm-for-python-scipy

situation. The spline interpolation and smoothing from scipy.interpolate are quite nice and might be quite helpful in fitting peaks and..

How to make scipy.interpolate give an extrapolated result beyond the input range?

http://stackoverflow.com/questions/2745329/how-to-make-scipy-interpolate-give-an-extrapolated-result-beyond-the-input-range

to make scipy.interpolate give an extrapolated result beyond the input range I'm trying.. which takes care of linear extrapolation. For example from scipy.interpolate import interp1d from scipy import arange array exp def extrap1d..

Scipy interpolation on a numpy array

http://stackoverflow.com/questions/3057015/scipy-interpolation-on-a-numpy-array

will input a value example 1.3 25 000 0.2 50 000 so on... scipy.interpolate should interpolate to determine the correct value. Currently..

Plot smooth line with PyPlot

http://stackoverflow.com/questions/5283649/plot-smooth-line-with-pyplot

share improve this question You could use scipy.interpolate.spline to smooth out your data yourself from scipy.interpolate.. to smooth out your data yourself from scipy.interpolate import spline xnew np.linspace T.min T.max 300 power_smooth..

Spline representation with scipy.interpolate: Poor interpolation for low-amplitude, rapidly oscillating functions

http://stackoverflow.com/questions/7906126/spline-representation-with-scipy-interpolate-poor-interpolation-for-low-amplitu

representation with scipy.interpolate Poor interpolation for low amplitude rapidly oscillating functions.. the smoothing factor is defined. See the documentation for scipy.interpolate.UnivariateSpline for more details. Even with a higher amplitude..

Python : 2d contour plot from 3 lists : x, y and rho?

http://stackoverflow.com/questions/9008370/python-2d-contour-plot-from-3-lists-x-y-and-rho

import numpy as np import matplotlib.pyplot as plt import scipy.interpolate # Generate data x y z 10 np.random.random 3 10 # Set up a regular.. y.min y.max 100 xi yi np.meshgrid xi yi # Interpolate rbf scipy.interpolate.Rbf x y z function 'linear' zi rbf xi yi plt.imshow zi vmin..

3D Contour plot from data using Mayavi / Python

http://stackoverflow.com/questions/9419451/3d-contour-plot-from-data-using-mayavi-python

XYZ values and V is the magnitude at each XYZ point. from scipy.interpolate import griddata import numpy as np # Create some test data 3D..