f = open('data/data.csv')

# create empty list

inflation = []

unemployment = []

# infinite loop

while True:

# read a single line from file

line = f.readline()

# stops when the content is empty

if len(line) == 0:

break

# split line by ','

[inf, unemp] = line.split(',')

# cast to float and append to the list

inflation.append(float(inf))

unemployment.append(float(unemp))

# closes the file

f.close()

is_upward = inf[peak_inf[0]] < inf[peak_inf[1]]

# inflation 이 unemployment 의 변화에 영향을 미친다 -- inflation 의 첫 peak 를 가지고 첫번째 opposite 을 찾아냄

first_opposite = 0

while first_opposite < len(peak_une):

if is_upward and (une[peak_une[first_opposite]] > une[peak_une[first_opposite + 1]]):

break

if not is_upward and (une[peak_une[first_opposite]] < une[peak_une[first_opposite + 1]]):

break

first_opposite += 1

matched = []

j = 0

for i in range(first_opposite, len(peak_une)):

matched.append((peak_inf[j], peak_une[i]))

j += 1

new_data = []

for curr_idx in range(len(peaks) - 1):

next_idx = curr_idx + 1

curr_peak = peaks[curr_idx]

next_peak = peaks[next_idx]

step = (next_peak - curr_peak) / num_slices

for s in range(num_slices):

pos = curr_peak + s * step

smaller = int(pos)

if pos == smaller:

new_data.append(data[smaller])

else:

# smaller == pos 인 경우 smaller == larger 이니까 이렇게 else를 larger = smaller + 1 으로

larger = smaller + 1

slope = data[larger] - data[smaller]

new_data.append(data[smaller] + slope * (pos - smaller))

new_data.append(data[peaks[-1]])