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Editorial Team
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Editorial Team
Asked: June 17, 20262026-06-17T09:30:43+00:00 2026-06-17T09:30:43+00:00

I have an nxnxn matrix which I want to loop over and replace all

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I have an nxnxn matrix which I want to loop over and replace all values < 1E-35 with 1E-35.

          for i in range(N):
              for j in range(N):
                  for k in range(N):
                      if data[i][j][k] < 1E-35:
                          data[i][j][k] = 1E-35

Doesn’t seem to work.

Edit: I worked it out. It was both the indentation and incorrect indexing [i][j][k].

Problem remains: this loops from 0 to N-1 of the NxNxN data? When I do data.min() I still get values ~ 1E-101 which should be 1E-35 after the loop. Am I doing the for loop wrong?

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  1. Editorial Team
    Editorial Team
    2026-06-17T09:30:44+00:00Added an answer on June 17, 2026 at 9:30 am

    It looks to me like you are using numpy in which case, you may want np.where:

    data = np.where(data < 1e-35,1e-35,data)
    

    Alternatively, you could use fancy indexing:

    data[ data < 1e-35 ] = 1e-35
    
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