Add the full date range to the overall glucose summary title; remove A1c from daily graphs, since it's more useful as a longer-term measurement; introduce commented-out code to allow decimal comment variables.
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@ -82,8 +82,11 @@ def main():
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for row in rows:
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row = parse_entry(row, args.icons)
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''' Ensure that the rows are sorted by date '''
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rows = sorted(rows, key=lambda row: row.get('date'), reverse=False)
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''' Fill in gaps that might exist in the data, in order to smooth the curves and fills '''
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''' We're using 8 minute gaps in order to have more accurate fills '''
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''' We're using 10 minute gaps in order to have more accurate fills '''
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rows = fill_gaps(rows, interval=dt.timedelta(minutes=10))
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''' If we're on the default values for units, highs and lows, check that the average
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@ -126,7 +129,10 @@ def main():
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with FigurePDF(args.output_file) as pdf:
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''' Overall averages for all data by hour of the day '''
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title = 'Overall Average Glucose Summary'
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start = rows[0].get('date')
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end = rows[-1].get('date')
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period = start.strftime('%A, %-d %B %Y') + ' to ' + end.strftime('%A, %-d %B %Y')
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title = 'Overall Average Glucose Summary for ' + period
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data = {}
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for row in rows:
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@ -291,7 +297,7 @@ def main():
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''' Draw graph with a spline tranform and labels '''
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generate_plot(data,
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ax=ax,
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transforms={'spline':True, 'label':True, 'avgglucose':g_median, 'avga1c':a_median},
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transforms={'spline':True, 'label':True, 'avgglucose':g_median},
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args=args,
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color=BLUE,
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)
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@ -534,6 +540,10 @@ def parse_entry(data, icons, fmt='%Y-%m-%d %H:%M:%S'):
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''' Convert floating point-style strings (2.0) to integer-style strings (2) '''
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try:
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cvalue = int(float(cvalue))
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# if int(float(cvalue)) == float(cvalue)
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# cvalue = int(float(cvalue))
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# else
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# cvalue = float(cvalue)
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except:
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pass
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cvalue = str(cvalue)
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