norm.py

import os
import numpy as np

# directory with .dat files
dirname = '.'

# new location of the main peak
x_peak_loc = 220

# normalization factor
y_norm = 2.0

# loop through all files in a directory
for filename in os.listdir(dirname):
    # select only .dat files
    if filename.endswith(".dat"):
        # get the filepath
        filepath = os.path.join(dirname, filename)
        print("analyzing " + filepath)

        # replace , with . as decimal point
        data = np.loadtxt(filepath, converters={0 : lambda s : s.replace(',','.'), 1 : lambda s : s.replace(',','.')})

        # renormalize Y axis
        data[:1] *= y_norm

        # get current location of maximum
        max_loc = np.amax(data, axis=0)[0]

        # difference between actual and desired maximum location
        shift = max_loc - y_norm
        # renorm. X axis
        data[:0] -= shift

        # save file with .new suffix
        np.savetxt(filepath + ".new", data)