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Data analysis on the light meter readings taken with the Light Meter project. The main area of study is the health and safety concerns regarding epilepsy.
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def tally_readings_per_second(data):
time_tallies = dict()
for item in data:
key = item[0]
if (key in time_tallies):
time_tallies[key] = time_tallies[key] + 1
else:
time_tallies[key] = 1
return time_tallies
def total_count_for_each_reading_per_second(time_tallies):
tally_totals = dict()
for val in time_tallies.values():
if (val in tally_totals):
tally_totals[val] = (tally_totals[val]) + 1
else:
tally_totals[val] = 1
return tally_totals
def get_rps_above(threshold, readings):
times = list()
for k, v in readings.items():
if (v >= threshold):
times.append(k)
return times
def find_flickers(selected_readings, all_readings):
selected = dict()
for current_selected_reading in selected_readings:
readings = list()
for current_reading in all_readings:
if (current_selected_reading == current_reading[0]):
readings.append(current_reading[1])
selected[current_selected_reading] = readings
return selected
def find_readings_with_lights_on(flicker_entries):
filtered_readings = list()
for time, reading in flicker_entries.items():
for item in reading:
val = int(item)
if (val > 39):
filtered_readings.append( (time, reading) )
return filtered_readings