Open munnich opened 5 years ago
A function that does exactly the above. Only a digit error of 1 is currently implemented.
def digit_error(fname, offset=0):
import numpy as np
with open(fname, 'r') as myfile:
data = myfile.read().replace(',', '.').replace('\n', ',').replace(' ', ',').replace("\t", ",")
datarray = data.split(',')
output = []
for item in datarray:
if item != '':
output.append((item))
internal = []
item: str
for item in output[offset:]:
if '.' not in item:
internal.append(1)
continue
num_parts = item.split('.')
internal.append(float('0.' + '0' * (len(num_parts[1]) - 1) + '1'))
output = np.array(internal)
x = output[0::2]
y = output[1::2]
return [x, y]
This should work by reading the CSV file as a string and finding the last value of it, which can determine the final digit.