| python Programming Glossary: dimensionBenefits of panda's multiindex? http://stackoverflow.com/questions/13226029/benefits-of-pandas-multiindex  and manipulation especially for working with higher dimensional data. In essence it enables you to effectively store and manipulate.. you to effectively store and manipulate arbitrarily high dimension data in a 2 dimensional tabular structure DataFrame for example... and manipulate arbitrarily high dimension data in a 2 dimensional tabular structure DataFrame for example. Imagine constructing.. 
 3d Numpy array to 2d http://stackoverflow.com/questions/13990465/3d-numpy-array-to-2d  hstacking and or vstacking them or adding an extra dimension and reshaping not sure this would work Thanks  python numpy.. 
 Numpy meshgrid in 3D http://stackoverflow.com/questions/1827489/numpy-meshgrid-in-3d  grid. What is the easiest way to extend this to three dimensions So given three vectors x y and z construct 3x3D arrays instead.. of `x` and y repeated to fill the matrix along the first dimension for `x` the second for `y`. See Also  index_tricks.mgrid Construct.. for `y`. See Also  index_tricks.mgrid Construct a multi dimensional meshgrid  using indexing notation. index_tricks.ogrid Construct.. 
 How can I quantify difference between two images? http://stackoverflow.com/questions/189943/how-can-i-quantify-difference-between-two-images  these questions first Are images of the same shape and dimension If not you may need to resize or crop them. PIL library will.. 
 Dimension Reduction in Categorical Data with missing values http://stackoverflow.com/questions/2837850/dimension-reduction-in-categorical-data-with-missing-values  the specification of the model so one of the key tasks is dimension reduction before running the regression. While I am aware of.. the regression. While I am aware of several methods for dimension reduction for continuous variables I am not aware of a similar.. Is there a good statistical reference out there for dimension reduction for categorical data along with robust imputation.. 
 Numpy interconversion between multidimensional and linear indexing http://stackoverflow.com/questions/3257619/numpy-interconversion-between-multidimensional-and-linear-indexing  interconversion between multidimensional and linear indexing  I'm looking for a fast way to interconvert.. for a fast way to interconvert between linear and multidimensional indexing in Numpy. To make my usage concrete I have a large.. collection of N particles each assigned 5 float values dimensions giving an Nx5 array. I then bin each dimension using numpy.digitize.. 
 Efficient Numpy 2D array construction from 1D array http://stackoverflow.com/questions/4923617/efficient-numpy-2d-array-construction-from-1d-array  is to directly manipulate the strides of the array For one dimensional arrays import numpy as np def rolling a window shape a.size.. this to a rolling window along the last axis for an N dimensional array we get Erik Rigtorp's rolling window function import.. a window Make an ndarray with a rolling window of the last dimension Parameters  a array_like Array to add rolling window to window.. 
 How to display picture and get mouse click coordinate on it http://stackoverflow.com/questions/5501192/how-to-display-picture-and-get-mouse-click-coordinate-on-it  with the printcoords function. To get the loaded picture dimension you would use canvas.bbox ALL and you might want to switch to.. 
 Pipe raw OpenCV images to FFmpeg http://stackoverflow.com/questions/5825173/pipe-raw-opencv-images-to-ffmpeg  tbr 25 tbn 25 tbc swScaler 0x0 640x480 is invalid scaling dimension The captured frames are definitely 640x480. I'm pretty sure.. 
 numpy reverse multidimensional array http://stackoverflow.com/questions/7416170/numpy-reverse-multidimensional-array  reverse multidimensional array  What is the simplest way in numpy to reverse the most.. 3 2 1 1 1 3 2 2 2 4 3 3 3 Thank you very much  python multidimensional array numpy   share improve this question   How about import.. 3 4 1 1 1 2 2 2 2 3 3 3 3 4 and the reverse along the last dimension is b a 1 or b a ... 1 although I like the later less since the.. 
 python- construction of lattice which traps molecules - doesn't work right http://stackoverflow.com/questions/8038420/python-construction-of-lattice-which-traps-molecules-doesnt-work-right  Create a program which constructs a lattice of one 1 dimension and 100000 sites. In this lattice put at random positions a.. 
 Understanding nested list comprehension http://stackoverflow.com/questions/8049798/understanding-nested-list-comprehension  list comprehension in python code is to operate on multidimensional arrays. A typical example is when you operate on matrices.. 7 8 As you can see the nesting works by operating on each dimension of the matrix. In the examples you provided it seems that ySet.. 
 Smoothing Data in Contour Plot with Matlibplot http://stackoverflow.com/questions/8055489/smoothing-data-in-contour-plot-with-matlibplot  pyplot. I have all of the data in an array that is multidimensional. It is 12 long about 2000 wide. So it is basically a list.. Keep in mind this is only an excerpt. The dimension of the data is 12 rows by 1959 columns. The columns change depending.. 
 How to get priorly-unkown array as the output of a function in Fortran http://stackoverflow.com/questions/8264336/how-to-get-priorly-unkown-array-as-the-output-of-a-function-in-fortran  y 2 how to declare predefined values for x 3 how to avoid dimension info n for 1 if it is defined as y n the output will be x 1.. 
 Robust Hand Detection via Computer Vision http://stackoverflow.com/questions/8593091/robust-hand-detection-via-computer-vision  requires performing a matrix computation for vector with dimension 1 in the formula for multi dimension gaussian distribution which.. for vector with dimension 1 in the formula for multi dimension gaussian distribution which can be time consuming for real time.. 
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