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python Programming Glossary: spline

How to remove convexity defects in a Sudoku square?

http://stackoverflow.com/questions/10196198/how-to-remove-convexity-defects-in-a-sudoku-square

function so this should be possible in OpenCV too. The spline based image transformation might be harder but I don't think..

Unix: Getting Mouse -coordinates over X like the Mathematica?

http://stackoverflow.com/questions/12078575/unix-getting-mouse-coordinates-over-x-like-the-mathematica

col 'red' ann FALSE xlim 0 1 ylim 0 1 if nrow mypoints 1 xspline mypoints shape 1 mypoints out dynmodfunc You can change the.. out dynmodfunc You can change the shape argument to xspline to change the style of spline. This version returns a 2 column.. the shape argument to xspline to change the style of spline. This version returns a 2 column matrix with the x and y values..

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

extrapolation technique. python numpy interpolation spline burndowncharts share improve this question It's all too.. plot days values o for k in 1 2 3 # line parabola cubicspline extrapolator UnivariateSpline days values k k y extrapolator..

Peak-finding algorithm for Python/SciPy

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

I would write the code myself in this situation. The spline interpolation and smoothing from scipy.interpolate are quite..

Fourier space filtering

http://stackoverflow.com/questions/3775912/fourier-space-filtering

block size B such that B 2P is a good FFT size Scale h via spline interpolation to be of size B 2P t h_scaled y Loop Take block..

Python/Scipy 2D Interpolation (Non-uniform Data)

http://stackoverflow.com/questions/5146025/python-scipy-2d-interpolation-non-uniform-data

or LSQBivariateSpline . If you want to use splines to interpolate the data go with these. this makes your function.. I'd personally just switch from the RectBivariateSpline spline scheme to the interp2d structured grid interpolation scheme...

Plot smooth line with PyPlot

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

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

Multivariate spline interpolation in python/scipy?

http://stackoverflow.com/questions/6238250/multivariate-spline-interpolation-in-python-scipy

spline interpolation in python scipy Is there a library module or.. or other straightforward way to implement multivariate spline interpolation in python Specifically I have a set of scalar.. I have found are not quite good enough I would prefer splines over LinearNDInterpolator for smoothness and I have far too..

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

to use both splrep and UnivariateSpline to create splines for the purpose of interpolation the function to take the derivatives... However it seems that there's an inherent problem in the spline representation itself for functions who's magnitude is order.. As an example consider the following code to create a spline representation of the sine function over the interval 0 6 pi..

scipy.interpolate.UnivariateSpline not smoothing regardless of parameters

http://stackoverflow.com/questions/8719754/scipy-interpolate-univariatespline-not-smoothing-regardless-of-parameters

pylab.plot x y o label Actual # Plot estimates using splines with a range of degrees for k in range 1 4 mySpline scipy.interpolate.UnivariateSpline.. because I don't have enough data If so is there a similar spline function or cluster technique I can apply to achieve smoothing.. achieve smoothing with this few datapoints python scipy splines share improve this question Short answer you need to choose..

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

methods though a radial basis function e.g. a thin plate spline is a particular type of radial basis function is often a good..

Why is splitting a string slower in C++ than Python?

http://stackoverflow.com/questions/9378500/why-is-splitting-a-string-slower-in-c-than-python

token to vector int main string input_line vector string spline long count 0 int sec lps time_t start time NULL cin.sync_with_stdio.. disable synchronous IO while cin getline cin input_line spline.clear empty the vector for the next line to parse I'm trying.. the two implementations per compilation obviously split1 spline input_line split2 spline input_line count count subtract for..