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I'm trying to use xarray's apply_ufunc to wrap numpy's gradient function, in order to t… Read more Disparity Between Result Of Numpy Gradient Applied Directly And Applied Using Xarray.apply_ufunc

Say I have a slice like x[p:-q:n] or x[::n] I want to use this to generate the index to be passed i… Read more How Can A Numpy.ufunc.reduceat Indices Be Generated From Python Slice Object

Say I have an array data = np.arange(6) I want to find the sum of the entire array and the second … Read more How To Specify The Last Index Explicitly To Np.ufunc.reduceat

Prerequisite This is a question derived from this post. So, some of the introduction of the problem… Read more Numpy: Finding Minimum And Maximum Values From Associations Through Binning

I am using the PLegendre function from the SHTOOLS package. It returns an array of Legendre polynom… Read more How To Use Numpy.frompyfunc To Return An Array Of Elements Instead Of Array Of Arrays?

From an array like db (which will be approximately (1e6, 300)) and a mask = [1, 0, 1] vector, I def… Read more Use Numpy.frompyfunc To Add Broadcasting To A Python Function With Argument

I have some code and do not understand why the difference occurs: np.std() which default ddof=0,whe… Read more Why Np.std() And Pivot_table(aggfunc=np.std) Return The Different Result

I'm trying to use xarray's apply_ufunc to wrap numpy's gradient function, in order to t… Read more Disparity Between Result Of Numpy Gradient Applied Directly And Applied Using Xarray.apply_ufunc