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A lookup (table) is an array that replaces run-time computation with a simpler array indexing operation. The savings in terms of processing time can be significant, since retrieving a value from memory is often faster than undergoing an 'expensive' computation or input/output operation. Over time the definition has become less strict, any kind of searching with a key value can be considered a lookup.

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Lookup closest value in Pandas DataFrame

") Results from the above code give: z = 20 r0 = 0.0014 tau1 = 1308.1766 tau2 = 60.5412 r1 = 0.0014 r2 = 0.0018 run time = 0.002264 s My approach works fine but is there a better (faster) way to lookup … There is a lookup function in Pandas but it finds exact values, so if a value doesn't exist then nothing is returned. …
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