[GranScannerMeanSTD.py] Алгоритм позволяет определить среднее значение изменяющегося положения пика и СКО полученного массива данных.

GranScannerMeanSTD.py

path = r'd:\ATOMTEX\trash'
import statistics
from chardet.universaldetector import UniversalDetector
namefile = 'GranScannerWebViewer.txt'
enc = UniversalDetector()
with open(path + f'\{namefile}', 'rb') as flop:
    for line in flop:
        enc.feed(line)
        if enc.done:
            break
    enc.close()
granscan = open(path + f'\{namefile}', 'r', encoding='utf-8')
# data = file.read()
lines = granscan.readlines()
result = []
for x in lines:
    result.append(x.split(' '))
granscan.close()
Lisdata = []
peack = []
for index in range(len(result)):
    if index >= 9:
        if index == 609:
            break
        Lisdata.append(result[index])
for item in Lisdata:
    peack.append(int(item[4]))

Mean = statistics.mean(peack)
CKO = statistics.stdev(peack)

if __name__ == '__main__':
    print('Среднее значение ПП =',
            round(statistics.mean(peack), 3))
    print("СКО =",
            round(statistics.stdev(peack), 3))