Spaces:
Runtime error
Runtime error
File size: 1,357 Bytes
6f90f9d |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 |
import numpy
import csv
def write_to_csv(ratios, file_name):
rows = []
for i in range(len(ratios)):
row = []
for key, value in ratios[i].items():
row.append(value)
rows.append(row)
with open(file_name, 'a', newline='') as csvfile:
csvwriter = csv.writer(csvfile)
csvwriter.writerows(rows)
csvfile.close()
def write_line_to_csv(ratios, file_name):
row = []
for key, value in ratios.items():
row.append(value)
with open(file_name, 'a', newline='') as csvfile:
csvwriter = csv.writer(csvfile)
csvwriter.writerow(row)
def standard_deviation(values):
_mean = numpy.mean(values)
differences = [(value - _mean) ** 2 for value in values]
sum_of_differences = sum(differences)
return (sum_of_differences / (len(values) - 1)) ** 0.5
def normalization(ratios_list):
_mean = numpy.mean(list(ratios_list.values()))
_deviation = standard_deviation(list(ratios_list.values()))
z_score = {}
for z_key, z_i in ratios_list.items():
z_score[z_key] = (z_i - _mean) / _deviation
lb = 0
ub = 1.618
_min = min(z_score.values())
_max = max(z_score.values())
linear = {}
for z_key, z_i in z_score.items():
linear[z_key] = lb + (z_i - _min) * (ub - lb) / (_max - _min)
return linear
|