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python Programming Glossary: griddedResampling a numpy array representing an image http://stackoverflow.com/questions/13242382/resampling-a-numpy-array-representing-an-image the default order 3 . zoom is specifically for regularly gridded data that you want to resample to a new resolution. As a quick..
Adding water flow arrows to Matplotlib Contour Plot http://stackoverflow.com/questions/16529892/adding-water-flow-arrows-to-matplotlib-contour-plot xi 0 yi 0 dx dy color '0.8' density 2 # Contour gridded head observations contours ax.contour xi yi zi linewidths 2..
Fast interpolation of grid data http://stackoverflow.com/questions/16983843/fast-interpolation-of-grid-data that do different things but both exploit the regularly gridded nature of the original data. The first is scipy.ndimage.zoom.. points in your data but still exploit the regularly gridded nature of the original data e.g. no quadtree required it's the.. 25 24 24 25 25 26 26 Arbitrary interpolation of regularly gridded data using map_coordinates The first thing to undersand about..
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 confused... In your example code you're creating regularly gridded random data and then resampling it onto another regular grid..
Multivariate spline interpolation in python/scipy? http://stackoverflow.com/questions/6238250/multivariate-spline-interpolation-in-python-scipy correctly your input observation data is regularly gridded If so scipy.ndimage.map_coordinates does exactly what you want...
Polar contour plot in Matplotlib http://stackoverflow.com/questions/6548556/polar-contour-plot-in-matplotlib values to make your plot. If your data isn't naturally gridded you should follow Stephen's advice and used griddata to interpolate..
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