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annotate datafile.py @ 81:1947d10f9395

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- Search for signal frequency iteratively to improve accuracy. - Use narrower bandwidths (via FFT filter) for close in measurements. - Work around bug in firmware when using FFT filter. - Actually _raise_ the exception when the signal power is too low.
author Daniel O'Connor <doconnor@gsoft.com.au>
date Fri, 27 Sep 2024 16:56:44 +0930
parents 91b476ebc0f2
children
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3d2306e39700 Move DataFile class to new file for ease of reuse.
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1 import exceptions
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2 import numpy
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3
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4 class DataFile(object):
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5 def __init__(self, fname):
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6 f = file(fname)
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7 self.opts = {}
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8 for line in f:
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9 key, value = line.strip().split(' ', 1)
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10 if key == "XDATA":
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11 self.freqs = numpy.fromstring(value, sep = ', ')
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12 continue
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13
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14 if key == "YDATA":
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15 self.powers = numpy.fromstring(value, sep = ', ')
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16 continue
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18 try:
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19 self.opts[key] = int(value)
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20 except exceptions.ValueError as e:
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21 try:
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22 self.opts[key] = float(value)
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23 except exceptions.ValueError as e:
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24 self.opts[key] = value
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26 def __getitem__(self, k):
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27 return self.opts[k]
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28