cana.composition.constants

Handle Optical Constants.

Functions

read_constant(filename[, label])	Read optical constant file.
read_constant_batch(filelist[, labels])	Read optical constant file.

Classes

OpticalConstant(w, n, k, label)

Optical Constant Class.

class cana.composition.constants.OpticalConstant(w: numpy.ndarray, n: numpy.ndarray, k: numpy.ndarray, label: str = 'asteroid')

Optical Constant Class.

Attributes:

shape

Return the shape of the Spectral Data.

Methods

copy([deep])	Return a copy of the object.
make_repr([maxlines, nlines])	Make representation of the Spectral Data.
plot()	Visualization of Sample coeficients.
rebase(baseaxis)	Interpolate spectra to a new axis.
save(fname[, fmt, delimiter, header, …])	Save the spectrum data into file.
sort([order])	Sort the Spectral data.
trim([w_low, w_up])	Trim to the desired wavelength range.

plot()

Visualization of Sample coeficients.

cana.composition.constants.read_constant(filename, label=None, **kwargs)

Read optical constant file.

The data should have 3 columns in the format: wavelength, n, k

Parameters:

filename: string

The path for the optical constant file

label: string (optional)

A label to used to identify the optical constant. If None will use the file basename as label. Default is None

grainsize: float (optional)

Returns:

Sample

cana.composition.constants.read_constant_batch(filelist, labels=None, **kwargs)

Read optical constant file.

The data should have 3 columns in the format: wavelength, n, k

Parameters:

filename: string

The path for the optical constant file

label: string (optional)

A label to used to identify the optical constant. If None will use the file basename as label. Default is None

grainsize: float (optional)

Returns:

Sample