def main():
r = 0.038 / 2
d = 0.024
mark = 30
tables = TableImporter()
writer = CSVWriter()
table = tables.get_table()
writer.string_write(["theory", "exp", "error"])
while table is not None:
times = get_1d_data(table, 0)
ys = get_1d_data(table, 2)
h = get_h(mark)
valid_ys = filter_descending_movement(ys)
valid_ys_in_meter = change_to_meter(valid_ys)
start_point = (times[1], valid_ys_in_meter[1])
end_point = (times[len(valid_ys) - 2],
valid_ys_in_meter[len(valid_ys_in_meter) - 2])
exp_time = end_point[0] - start_point[0]
theory_time = theoretical_time(start_point, end_point, h, r, d)
error = (exp_time - theory_time) / theory_time * 100
writer.write([theory_time, exp_time, error])
table = tables.get_table()
def main():
tables = TableImporter()
writer = CSVWriter()
table = tables.get_table()
while table is not None:
min_max_table = get_min_max(table, 2)
period = get_period(min_max_table)
amplitude = get_amplitude(min_max_table, 2)
writer.string_write(["period"], end=",")
writer.write(period)
writer.string_write(["amplitude"], end=",")
writer.write(amplitude)
writer.write([])
table = tables.get_table()