I am running Pylint on a Python project. Pylint makes many complaints about being unable to find NumPy members. How can I avoid this while avoiding skipping membership checks? From the code: import numpy as np print np.zeros([1, 4]) Which, when ran, I get the expected: [[ 0. 0. 0. 0.]] However, Pylint gives me … Read more
There seems to be no function that simply calculates the moving average on numpy/scipy, leading to convoluted solutions. My question is two-fold: What’s the easiest way to (correctly) implement a moving average with numpy? Since this seems non-trivial and error prone, is there a good reason not to have the batteries included in this case? … Read more
This came up in Hidden features of Python, but I can’t see good documentation or examples that explain how the feature works. 4 Answers 4
I’m trying to run this program import cv2 import time cv.NamedWindow(“camera”, 1) capture = cv.CaptureFromCAM(0) while True: img = cv.QueryFrame(capture) cv.ShowImage(“camera”, img) if cv.WaitKey(10) == 27: break cv.DestroyAllWindows() But I’m having a problem with numpy, I’m using pyschopy along with opencv. The problem I keep getting is this error report: RuntimeError: module compiled against API … Read more
I have an array of distances called dists. I want to select dists which are within a range. dists[(np.where(dists >= r)) and (np.where(dists <= r + dr))] However, this selects only for the condition (np.where(dists <= r + dr)) If I do the commands sequentially by using a temporary variable it works fine. Why does … Read more
After doing some processing on an audio or image array, it needs to be normalized within a range before it can be written back to a file. This can be done like so: # Normalize audio channels to between -1.0 and +1.0 audio[:,0] = audio[:,0]/abs(audio[:,0]).max() audio[:,1] = audio[:,1]/abs(audio[:,1]).max() # Normalize image to between 0 and … Read more
How can I build a numpy array out of a generator object? Let me illustrate the problem: >>> import numpy >>> def gimme(): … for x in xrange(10): … yield x … >>> gimme() <generator object at 0x28a1758> >>> list(gimme()) [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] >>> numpy.array(xrange(10)) array([0, 1, 2, … Read more
numpy has three different functions which seem like they can be used for the same things — except that numpy.maximum can only be used element-wise, while numpy.max and numpy.amax can be used on particular axes, or all elements. Why is there more than just numpy.max? Is there some subtlety to this in performance? (Similarly for … Read more
I have a 1D array in numpy and I want to find the position of the index where a value exceeds the value in numpy array. E.g. aa = range(-10,10) Find position in aa where, the value 5 gets exceeded. 8 Answers 8
Closed. This question is opinion-based. It is not currently accepting answers. Want to improve this question? Update the question so it can be answered with facts and citations by editing this post. Closed 6 years ago. Improve this question They both seem exceedingly similar and I’m curious as to which package would be more beneficial … Read more
