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    <p>Okay, so you can do this:</p> <p>Algorithm:</p> <pre><code>Read the file line by line if the line starts with "timestep": read the next three lines take the average as needed </code></pre> <p>Code:</p> <pre><code>def getArrays(f): answer = [[0, 0, 0], [0, 0, 0], [0, 0, 0]] count = 0 line = f.readline() while line: if line.strip().startswith("timestep"): one, two, three = getFloats(f.readline().strip()), getFloats(f.readline().strip()), getFloats(f.readline().strip()) answer[0][0] = ((answer[0][0]*count) + one[0])/(count+1) answer[0][1] = ((answer[0][0]*count) + one[1])/(count+1) answer[0][2] = ((answer[0][0]*count) + one[2])/(count+1) answer[1][0] = ((answer[0][0]*count) + two[0])/(count+1) answer[1][1] = ((answer[0][0]*count) + two[1])/(count+1) answer[1][2] = ((answer[0][0]*count) + two[2])/(count+1) answer[2][0] = ((answer[0][0]*count) + three[0])/(count+1) answer[2][1] = ((answer[0][0]*count) + three[1])/(count+1) answer[2][2] = ((answer[0][0]*count) + three[2])/(count+1) line = f.readline() count += 1 return answer def getFloats(line): answer = [] for num in line.split(): if "E" in num: parts = num.split("E") base = float(parts[0]) exp = int(parts[1]) answer.append(base**exp) else: answer.append(float(num)) return answer </code></pre> <p><code>answer</code> is now a list of all the 3x3 arrays. I don't know how you want to do the averaging, so if you post that, I can incorporate it into this algorithm. Else, you can write a function to take my array and compute the averages are required.</p> <p>Hope this helps</p>
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    1. POUsing python to extract a few lines from a data file
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    1. COI just need a straight elementwise averaging, preferably printed to a separate file.
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    2. COUsing this code, does anyone know how to get the average 3x3 array of this collection of all the arrays?
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    3. CO@Maimon: so if you have a 3x3 array that looks like this: [[a,b,c],[d,e,f],[g,h,i]], what would the result of the result of the averaging look like?
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