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December 6, 2020 06:19
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Resample a numpy array
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| import numpy as np | |
| def resample(x, t, start, end, step): | |
| bins = np.arange(start, end+step, step) | |
| inds = np.digitize(t,bins) | |
| n = x.shape[0] | |
| y = np.empty((n, len(bins))) * np.nan | |
| for i in range(n): | |
| y[i,inds[i,:]] = x[i,:] | |
| return y, bins | |
| x = [3,6,9,12,15,18,21,24] | |
| t = [0,4,8,10,45,67,78,90] | |
| x_re, t_re = resample(x, t, 0, 100, 5) |
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