def get_data(filename,headers,ph_units):
# Importation des données .DAT
dat_file = np.loadtxt("%s"%(filename),skiprows=headers,delimiter=',')
labels = ["freq", "amp", "pha", "amp_err", "pha_err"]
data = {l:dat_file[:,i] for (i,l) in enumerate(labels)}
if ph_units == "mrad":
data["pha"] = data["pha"]/1000 # mrad to rad
data["pha_err"] = data["pha_err"]/1000 # mrad to rad
if ph_units == "deg":
data["pha"] = np.radians(data["pha"]) # deg to rad
data["pha_err"] = np.radians(data["pha_err"]) # deg to rad
data["phase_range"] = abs(max(data["pha"])-min(data["pha"])) # Range of phase measurements (used in NRMS error calculation)
data["Z"] = data["amp"]*(np.cos(data["pha"]) + 1j*np.sin(data["pha"]))
EI = np.sqrt(((data["amp"]*np.cos(data["pha"])*data["pha_err"])**2)+(np.sin(data["pha"])*data["amp_err"])**2)
ER = np.sqrt(((data["amp"]*np.sin(data["pha"])*data["pha_err"])**2)+(np.cos(data["pha"])*data["amp_err"])**2)
data["Z_err"] = ER + 1j*EI
# Normalization of amplitude
data["Z_max"] = max(abs(data["Z"])) # Maximum amplitude
zn, zn_e = data["Z"]/data["Z_max"], data["Z_err"]/data["Z_max"] # Normalization of impedance by max amplitude
data["zn"] = np.array([zn.real, zn.imag]) # 2D array with first column = real values, second column = imag values
data["zn_err"] = np.array([zn_e.real, zn_e.imag]) # 2D array with first column = real values, second column = imag values
return data
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