pyrfu.pyrf.medfilt module#
- pyrfu.pyrf.medfilt.medfilt(inp, n_pts: int = 11)[source]#
Applies a median filter over npts points to inp.
- Parameters:
inp (xarray.DataArray) – Time series of the input variable.
n_pts (int, Optional) – Number of points of median filter.
- Returns:
out – Time series of the median filtered input variable.
- Return type:
Examples
>>> import numpy >>> from pyrfu import mms, pyrf
Time interval
>>> tint = ["2019-09-14T07:54:00.000", "2019-09-14T08:11:00.000"]
Spacecraft indices
>>> mms_list = numpy.arange(1,5)
Load magnetic field and electric field
>>> r_mms, b_mms = [[] * 4 for _ in range(2)] >>> for mms_id in range(1, 5): >>> r_mms.append(mms.get_data("R_gse", tint, mms_id)) >>> b_mms.append(mms.get_data("B_gse_fgm_srvy_l2", tint, mms_id)) >>>
Compute current density, etc
>>> j_xyz, _, b_xyz, _, _, _ = pyrf.c_4_j(r_mms, b_mms)
Get J sampling frequency
>>> fs = pyrf.calc_fs(j_xyz)
Median filter over 1s
>>> j_xyz = pyrf.medfilt(j_xyz,fs)