Category : scipy

Have an array of point which are plotted as below . There are column structures in the set of point. How can these points be grouped into different columns? np.array([[151, 26],[ 30, 26],[511, 27],[747, 30],[609, 28],[930, 30], [ 30, 52],[211, 53],[513, 54],[608, 54],[824, 56],[946, 55], [106, 87],[187, 87],[512, 89],[609, 90],[725, 90],[823, 92], [931, 92],[ 28, ..

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I am using scipy.interpolate.interpn() to interpolate a value at a single point on a 2D grid. The catch is that for this single point and for the 2D grid, I have to perform many evaluations of the interpn function: interpolatedValue = [] for i in range(300000): interpolatedValue.append(scipy.interpolate.interpn(points, valueList[i], point)[0]) The code works as expected, but ..

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hope you’re doing well. I’m working with a EMG signal which have the following shape: data = (70, 3, 1000) –> classes, channels, points The sampling frequency for this signal was 200 Hz. (5 seconds of storage, 1000 points) Before going to feature extraction, I have to "split" the data on the time and frequency ..

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I just spent 20 min monkey-patching this, figured I’d share My code calls a function dataloader.dataloader from a module dataloader which calls the function scipy.misc.imresize I tried using numpy.array(Image.fromarray(arr).resize()) as suggested in the scipy doc, but I ran into this issue, and since the accepted answer was to use scipy.misc.imresize, so that was not very ..

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