Jan 3, 2009 · The v4 series of the gcc compiler can automatically vectorize loops using the SIMD processor on some modern CPUs, such as the AMD Athlon or Intel Pentium/Core chips. How is this …

Feb 13, 2021 · Isn't the answer to How to use np.vectorize? usually "Don't. It just pretends to be a vectorized function but is just a loop with a different name"?

Sep 14, 2009 · Many CPUs have "vector" or "SIMD" instruction sets which apply the same operation simultaneously to two, four, or more pieces of data. Modern x86 chips have the SSE instructions, …

Dec 29, 2023 · How to vectorize operations in pandas data frame? Ask Question Asked 2 years, 2 months ago Modified 2 years, 2 months ago

Oct 4, 2009 · Is it a good idea to vectorize the code? What are good practices in terms of when to do it? What happens underneath?

Feb 26, 2018 · The decorator version @vectorize is harder to apply than the function version. Your method f takes two arguments, self and x. vectorize isn't smart enough to assign Dummy() to self, …

Sep 5, 2023 · By default vectorize passes scalar arguments to your function, and expects a scalar (read about otypes). signature lets you pass subarrays, with the symbols determining the number of …

Oct 6, 2018 · I am using Pandas dataframes and want to create a new column as a function of existing columns. I have not seen a good discussion of the speed difference between df.apply() and …

Using Numpy Vectorize on Functions that Return Vectors Asked 15 years, 8 months ago Modified 3 years, 3 months ago Viewed 125k times

Nov 23, 2021 · Here is an example picture I'm trying to "vectorize": What I would like to do is (using OpenCV) separate the corncob from the green stock it's attached to, and separate each corncob …