pyrfu.pyrf.integrate module#

pyrfu.pyrf.integrate.integrate(inp, time_step: float | None = None)[source]#

Integrate time series.

Parameters:

  • inp (xarray.DataArray) – Time series of the variable to integrate.

  • time_step (float, Optional) – Time steps threshold. All time_steps larger than 3*time_step are assumed data gaps, default is that time_step is the smallest value of all time_steps of the time series.

Returns:

out – Time series of the time integrated input.

Return type:

xarray.DataArray

Examples

>>> from pyrfu import mms, pyrf

Time interval

>>> tint = ["2015-12-14T01:17:40.200", "2015-12-14T01:17:41.500"]

Spacecraft index

>>> mms_id = 1

Load magnetic field and electric field

>>> b_xyz = mms.get_data("B_gse_fgm_brst_l2", tint, mms_id)
>>> e_xyz = mms.get_data("E_gse_edp_brst_l2", tint, mms_id)

Convert electric field to field aligned coordinates

>>> e_xyzfac = pyrf.convert_fac(e_xyz, b_xyz, [1, 0, 0])