parsedata.py
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__pycache__
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import os, numpy as np
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f = open("data.txt", "r").readlines()
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# create a numpy array of the data
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data = np.zeros((len(f), 2))
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for i in range(len(f)):
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# get the last two columns of the data, then convert them to numpy integers, and place it into the array
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data[i] = np.array(f[i].strip().split(",")[-2:], dtype=np.int32)
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# sum each index of the array
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sum = np.sum(data, axis=1)
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count = 0
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for i in sum:
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# print(count, i)
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# convert each i in pico seconds to MHz
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print(count, (1/(i*10**-12))/10**6)
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count += 1
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