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numpy how to apply interpolation all rows
“numpy how to apply interpolation all rows” Code Answer
numpy how to apply interpolation all rows
python by
Difficult Dunlin
on Jun 05 2020
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import numpy as np from scipy.interpolate import interp1d # generate some example data W = 3 H = 10 M = 5 A2 = np.arange(W * M).reshape(W, M) print(A2) # [[ 0 1 2 3 4] # [ 5 6 7 8 9] # [10 11 12 13 14]] # the initial column indices for A2 x = np.arange(M) # we create a scipy.interpolate.interp1d instance itp_A2 = interp1d(x, A2, kind='nearest') # the output column coordinates for A1 xi = np.linspace(0, M - 1, H) # we get the interpolated output by calling the interp1d instance with the # output coordinates A1 = itp_A2(xi) print(A1) # [[ 0. 0. 1. 1. 2. 2. 3. 3. 4. 4.] # [ 5. 5. 6. 6. 7. 7. 8. 8. 9. 9.] # [ 10. 10. 11. 11. 12. 12. 13. 13. 14. 14.]]
Source:
stackoverflow.com
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