sliding-window

List iteration optimization

List iteration optimization Question: I’m trying to create a function to find the longest segment within a given list t, which satisfies two conditions: The last number of the segment has to be equal or greater than the first number of the segment. Difference between the last number and the first number of the segment …

Total answers: 1

Pyspark create sliding windows from rows with padding

Pyspark create sliding windows from rows with padding Question: I’m trying to collect groups of rows into sliding windows represented as vectors. Given the example input: +—+—–+—–+ | id|Label|group| +—+—–+—–+ | A| T| 1| | B| T| 1| | C| F| 2| | D| F| 2| | E| F| 3| | F| T| 3| | …

Total answers: 2

failed to convert a for loop into loop comprehension expression. why is my list comprehension slower than my for loop?

failed to convert a for loop into loop comprehension expression. why is my list comprehension slower than my for loop? Question: While building a project that uses sliding window, I have the following code, which works fine: #aby is a one dimension list like, eg:[0.010,0.012,0.008,……,0.009] adj_qth_amp = 100 scan_window_size = 10000 wanted_time_stamps = [] window_sum …

Total answers: 2

Sliding window of M-by-N shape numpy.ndarray

Sliding window of M-by-N shape numpy.ndarray Question: I have a Numpy array of shape (6,2): [[ 0, 1], [10,11], [20,21], [30,31], [40,41], [50,51]] I need a sliding window with step size 1 and window size 3 like this: [[ 0, 1,10,11,20,21], [10,11,20,21,30,31], [20,21,30,31,40,41], [30,31,40,41,50,51]] I’m looking for a Numpy solution. If your solution could parametrise …

Total answers: 8