Source code for oospectro.io
import numpy as np
[docs]def load_spectrum(spectrum_path, lambda_min=100, lambda_max=1000):
"""
Load a spectrum file.
Parameters
----------
spectrum_path : string
File path.
lambda_min : scalar, optional
Cut the data at this minimum wavelength in nm.
lambda_max : scalar, optional
Cut the data at this maximum wavelength in nm.
Returns
-------
values : arrays
(lamdbas, intensities)
"""
data = np.loadtxt(spectrum_path, delimiter=',')
lambdas, intensities = np.column_stack(data)
mask = (lambdas > lambda_min) & (lambdas < lambda_max)
return lambdas[mask], intensities[mask]