Vectorize Moving Window Grid Operations on NumPy Arrays

Whether photography, topography, or something else it can probably be analyzed with a sliding window

There’s a good chance you’ve done something today that used a sliding window (also known as a moving window) and you didn’t even know it. Have you done any photo editing? Many editing algorithms are based on moving windows. Do you do terrain analysis in GIS? Most topographic raster metrics (slope, aspect, hillshade, etc.) are based on sliding windows. Anytime you do analysis on data formatted as a two-dimensional array there’s a good chance a sliding window will be involved. Sliding window operations are extremely prevalent and extremely useful. They’re also very easy to implement in Python. Learning how to implement moving windows will take your data analysis and wrangling skills up to a new level.

arrays numpy photography python data-science

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