All Questions
Tagged with numpyvectorization
32 questions
4votes
1answer
195views
Finding specific promotions from two columns [closed]
I'm trying to build a function that identifies those who are promoted into a list of jobcodes, or are promoted within that list of jobcodes. Initially I was using ...
- 41
1vote
1answer
711views
Exponentially-weighted moving mean and standard deviation of an irregularly-spaced weighted time series
The following numpy/python function computes exponentially-weighted moving mean and standard deviation of an irregularly-spaced weighted time series. I want to make it faster by getting rid of the ...
3votes
1answer
108views
Vectorizing a working custom similarity function further using numpy
I am new to python, and even more new to vectorization. I have attempted to vectorize a custom similarity function that should return a matrix of pairwise similarities between each row in an input ...
- 131
2votes
1answer
190views
Computing the angle between two vectors (vectorized) for small angles and with few copies
I am implementing a function that computes the angle between two vectors when given two n-dimensional arrays and an axis along which to operate. I want to do this with as few copies as possible, and ...
- 1,071
5votes
2answers
219views
Snake game from the viewpoint of the snake
I wrote a little game of Snake where you can see the field in which the snake moves fixed and you can also see the "viewpoint" of the snake, which is basically calculating the positions of ...
5votes
1answer
237views
Implement vectorization instead of nested loops on dataframe
I have a dataset ('sample_data.csv') of the form below: ...
- 51
4votes
1answer
96views
Can this numpy code be vectorized?
I've written the following function to produce n realizations of a CIR process for a given set of parameters: ...
- 183
1vote
0answers
206views
condensed nearest centroid classifier in numpy
This is my attempt to write a numpy-optimized version of a nearest centroid classifier to classify some images from the MNIST data set of handwritten digits. I am ...
- 127
4votes
2answers
1kviews
PyTorch Vectorized Implementation for Thresholding and Computing Jaccard Index
I have been trying to optimize a code snippet which finds the optimal threshold value in a n_patch * 256 * 256 probability map to get the highest Jaccard index ...
- 73
1vote
1answer
506views
Vectorized N-Dimensional Random Walk in Cartesian Coordinates
I have written a random-walk routine that I hope to build upon in the future. Before doing so, I was hoping to get some critique. I believe the implementation is correct. I noticed that many other ...
user182606
2votes
1answer
7kviews
Find first threshold crossing in numpy array
Given the following artificially generated data: ...
- 1,585
6votes
2answers
8kviews
Compute a numerical derivative
Since I could not get numpy.gradient() to compute a derivative successfully, I wrote a script to compute it manually. Running the script below will output a plot of ...
user127168
3votes
0answers
314views
Merging bin-data via a bin count threshold
When performing a chi-squared test, one takes the square of the differences of the expected counts per bin and observed counts per bin, and divides these per-bin differences by the expected counts per ...
user127168
1vote
1answer
978views
Normalise list of N dimensional numpy arrays
I have a list of N dimensional NumPy arrays. num_vecs = 10 dims = 2 vecs = np.random.normal(size=(num_vecs, dims)) I want to normalize them, so the magnitude/...
- 1,585
6votes
2answers
3kviews
Remove outliers from a point cloud
This function accepts a cloud of points, and returns those points that are within delta distance of the average (mean) position. ...
