I want to iterate over some inner dimensions of an array without knowing in advance how many dimensions to iterate over. Furthermore I only know that the last two dimensions should not be iterated over. For example assume the array has dimension 5 and shape (i,j,k,l,m) and I want to iterate over the second and third dimension. In each step
Tag: numpy-slicing
how to use fromiter and ndnumerate together
I’m currently trying to manually implement a function to represent the KNN graph of a set of points as an incidence matrix, and my idea was to take the rows of an affinity matrix(n x n matrix representing the distance between the n points), enumerate and sort them, then return indices for the first K elements the errors I get
Part specification along different axes of numpy array
Why is arr[0:5][0:10] the same as arr[0:10][0:5] and what should I write if I want to get the array with shape (10,5)? In the process of trying to crop a 2D numpy array I end up with the wrong dimensions. Ok, I figure, I just got my axes switched up, so I switch the order of the part specification.. and
How to mark data as anomalies based on specific condition in each interval
I try to search for this problem many places and couldn’t find the right tools. I have a simple time series data, For any sequence of data that is = 1 and span over (for example 1000 time instances). I want to mark those as anomalies (true). Else they should be ignore (as false). How do I achieve this with
Confused on Index Slicing in python
I am slicing my hour column and when I use slice(1, 3) and slice(0, 3) I get the same results. What am i missing? See in the image below. Answer There is a space at the beginning of dataset[“hour”]. So slice(0, 3) is ” 02″ while slice(1, 3) is “02”. This was answered by @Barmar on comment.