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python Programming Glossary: kdtree

Inverse Distance Weighted (IDW) Interpolation with Python

http://stackoverflow.com/questions/3104781/inverse-distance-weighted-idw-interpolation-with-python

combines inverse distance weighting and scipy.spatial.KDTree . Forget the original brute force answer this is imho the method.. inverse distance weighted interpolation using KDTree fast solid local from __future__ import division import numpy.. division import numpy as np from scipy.spatial import cKDTree as KDTree # http docs.scipy.org doc scipy reference spatial.html..

Data type problem using scipy.spatial

http://stackoverflow.com/questions/3875062/data-type-problem-using-scipy-spatial

problem using scipy.spatial I want to use scipy.spatial's KDTree to find nearest neighbor pairs in a two dimensional array essentially.. of lists pipe it into numpy's array and then create the KDTree instance. However whenever I try to run query on it I inevitably.. inevitably get weird answers. For example when I type tree KDTree array nearest tree.query np.array 1 1 nearest prints out 0.0..

Efficient method of calculating density of irregularly spaced points

http://stackoverflow.com/questions/6652671/efficient-method-of-calculating-density-of-irregularly-spaced-points

30000 points. My final attempt was to store the data in an KDTree and use the nearest 5 points to calculate the hot spot value... as plt import math from scipy.spatial import KDTree import time import scipy.ndimage as ndi def grid_density_kdtree.. len xi len yi dtype np.uint8 zipped zip xl yl kdtree KDTree zipped for xci in range 0 len xi xc xi xci for yci in range..

Rectangular bounding box around blobs in a monochrome image using python

http://stackoverflow.com/questions/9525313/rectangular-bounding-box-around-blobs-in-a-monochrome-image-using-python

ul corners.append ul corners.append lr # Use a KDTree so we can find corners that are nearby efficiently. tree spatial.KDTree.. can find corners that are nearby efficiently. tree spatial.KDTree corners new_corners for corner in ulcorners bbox bbox_map corner..