python Programming Glossary: griddata

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

here is the code import cv2 from scipy.interpolate import griddata import numpy as np grid_x grid_y np.mgrid 0 149 150j 0 149 150j.. 62 108 111 107 157 151 11 151 58 151 107 151 156 grid_z griddata destination source grid_x grid_y method 'cubic' map_x np.append.. warped.png warped I suppose you can google and find what griddata does. In short it does interpolation and here we use it to convert..

Fast interpolation of grid data

http://stackoverflow.com/questions/16983843/fast-interpolation-of-grid-data

the data in the rough grid. At the moment I'm using scipy griddata linear interpolation but it's pretty slow ~90secs for 20x20x20..

Resampling irregularly spaced data to a regular grid in Python

http://stackoverflow.com/questions/3864899/resampling-irregularly-spaced-data-to-a-regular-grid-in-python

380 380 4 115 4 x_i np.linspace 8 8 512 resampled_data ml.griddata x y data x_i y_i 512 115 is the shape of the 2D data and I already.. do in your example there are more efficient methods than griddata or anything I'm about to describe below. scipy.ndimage.interpolate.map_coordinates.. yi # Interpolate using delaunay triangularization zi mlab.griddata x y z xi yi # Plot the results plt.figure plt.pcolormesh xi..

matplotlib color in 3d plotting from an x,y,z data set without using contour

http://stackoverflow.com/questions/4363857/matplotlib-color-in-3d-plotting-from-an-x-y-z-data-set-without-using-contour

import Axes3D from matplotlib.mlab import griddata from matplotlib import cm from matplotlib.ticker import LinearLocator.. x max x yi np.linspace min y max y X Y np.meshgrid xi yi Z griddata x y z xi yi surf ax.plot_surface X Y Z rstride 6 cstride 6 cmap.. I think there is a problem with fill discontinuous surface griddata . Code from mpl_toolkits.mplot3d import Axes3D from matplotlib..

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

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

for all of my results. EDIT I think I need to use either 'griddata' or 'interp2'. griddata seems to produce the result I expect.. EDIT I think I need to use either 'griddata' or 'interp2'. griddata seems to produce the result I expect but 'interp2' does not... 0.000 0.175 0.818 1.000 dtype np.float GD interpolate.griddata rows cols z.ravel xi None yi None method 'linear' I2 interpolate.interp2d..

Filling gaps in a numpy array

http://stackoverflow.com/questions/5551286/filling-gaps-in-a-numpy-array

estimate is required . In new scipy versions things like griddata would be useful but currently I only have scipy 0.8. So I have..

python matplotlib colorbar setting tick formator/locator changes tick labels

http://stackoverflow.com/questions/6485000/python-matplotlib-colorbar-setting-tick-formator-locator-changes-tick-labels

#http matplotlib.sourceforge.net examples pylab_examples griddata_demo.html from numpy.random import uniform seed from matplotlib.mlab.. import uniform seed from matplotlib.mlab import griddata import matplotlib.pyplot as plt import matplotlib.ticker import.. 2.1 2.1 100 yi np.linspace 2.1 2.1 200 # grid the data. zi griddata x y z xi yi interp 'linear' ##### FIRST PLOT plt.figure CS plt.contour..

Polar contour plot in Matplotlib

http://stackoverflow.com/questions/6548556/polar-contour-plot-in-matplotlib

gridded you should follow Stephen's advice and used griddata to interpolate your data on to a grid. The following script.. of both. import pylab as plt from matplotlib.mlab import griddata import numpy as np # data on a grid r np.linspace 0 1 100 t.. y.min y.max 100 xgrid ygrid np.meshgrid xgrid ygrid zgrid griddata x y z xgrid ygrid plt.subplot 122 plt.contour xgrid ygrid zgrid..