specio.core.Spectrum

class specio.core.Spectrum(amplitudes, wavelength, meta=None)

Class containing the spectrum information.

This data structure is used and returned by specio.specread().

Parameters:

amplitudes : ndarray, shape (n_wavelength) or (n_spectra, n_wavelength)

The amplitudes or counts.

wavelength : ndarray, shape (n_wavelength,)

The corresponding wavelength.

meta : dict or tuple of dict

The dictionary containing the meta data. When several spectrum have been compressed, a tuple of dictionary is returned.

Notes

See General presentation of the Spectrum data structure.

__init__(amplitudes, wavelength, meta=None)

Methods

__init__(amplitudes, wavelength[, meta])
to_csv(filename)	Export the Spectrum into CSV.
to_dataframe()	Export the Spectrum to a pandas DataFrame.

to_csv(filename)

Export the Spectrum into CSV.

Parameters:

filename : str

File path

Returns:

None

to_dataframe()

Export the Spectrum to a pandas DataFrame.

Returns:

df_spectrum : DataFrame,

A pandas DataFrame containing the information from a Spectrum. The index corresponds to the filename and the columns corresponds to the wavelengths.

Examples

>>> from specio import specread
>>> from specio.datasets import load_spc_path
>>> spectra = specread(load_spc_path())
x-y(1)
>>> df = spectra.to_dataframe()
>>> df.loc[:, df.columns < 410] # print a subset of the DataFrame
             400.621094  402.943848  405.267212  407.588501  409.910400
spectra.spc      1487.0      1385.0      1441.0      1504.0      1509.0