Source code for pyrfu.pyrf.ts_spectr
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# 3rd party imports
import numpy as np
import xarray as xr
__author__ = "Louis Richard"
__email__ = "louisr@irfu.se"
__copyright__ = "Copyright 2020-2023"
__license__ = "MIT"
__version__ = "2.4.2"
__status__ = "Prototype"
[docs]def ts_spectr(time, ener, data, comp_name: str = "energy", attrs: dict = None):
r"""Create a time series containing a spectrum
Parameters
----------
time : numpy.ndarray
Array of times.
ener : numpy.ndarray
Y value of the spectrum (energies, frequencies, etc.)
data : numpy.ndarray
Data of the spectrum.
attrs : dict, Optional
Attributes of the data list.
Returns
-------
out : xarray.DataArray
Time series of a spectrum
"""
# Check input type
assert isinstance(time, np.ndarray), "time must be a numpy.ndarray"
assert isinstance(ener, np.ndarray), "time must be a numpy.ndarray"
assert isinstance(data, np.ndarray), "data must be a numpy.ndarray"
# Check input shape must be (n, m, )
assert data.ndim == 2, "Input must be a spectrum"
assert len(time) == data.shape[0], "len(time) and data.shape[0] must be equal"
assert len(ener) == data.shape[1], "len(ener) and data.shape[1] must be equal"
if attrs is None or not isinstance(attrs, dict):
attrs = {}
out = xr.DataArray(data, coords=[time, ener], dims=["time", comp_name], attrs=attrs)
out.attrs["TENSOR_ORDER"] = 0
return out