Second, the coordinates of the new bins are computed from the slices using mgrid. First, floating slices objects are created for each dimension. Here we deal with the simplest case where any desired new shape is valid and no interpolation is done on the data to determine the new values. Inline Weave With Basic Array Conversion (no Blitz)Įxamples showing how to rebin data to produce a smaller or bigger array without (and with) using interpolation. Using NumPy With Other Languages (Advanced) Parallel Programming with numpy and scipyįDTD Algorithm Applied to the Schrödinger Equation Numpy & Scipy / Ordinary differential equationsįinding the minimum point in the convex hull of a finite set of pointsĪ beginners guide to using Python for performance computing Solving a discrete boundary-value problem in scipy Numpy & Scipy / Optimization and fitting techniques Using radial basis functions for smoothing/interpolation Matplotlib: plotting values with masked arrays Matplotlib: plotting images with special values Matplotlib: loading a colormap dynamically Matplotlib: gridding irregularly spaced data Matplotlib: converting a matrix to a raster image Matplotlib: using matplotlib in a CGI script Matplotlib: multiple subplots with one axis label Matplotlib: deleting an existing data series Matplotlib: compiling matplotlib on solaris10 Compiling Extension Modules on Windows using mingw
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