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Description
"""
import pyart
radar = pyart.aux_io.read_radx("DLI241228031216-IMD-B.nc.1", radx_dir="/usr/local/lrose/bin", no_assemble=True)
radar.fields['Z']['data'].shape
(3600, 831)
import xarray as xr
radar = xr.open_dataset("DLI241228031216-IMD-B.nc.1")
radar.Z.shape
(360, 831)
"""
This code snippet shows that actually the radar file contains data from a single sweep or elevation, but when I am using read_radx to read the file, it is assembling all the sweep files corresponding to a time instant and producing the data from all the sweeps combined. Even after applying no_assemble=True, no change in the discrepancy has occurred. How can I ensure that read_radx reads only the data from the single sweep available in the input file provided, and do not try to produce the data from the combined 10 sweeps?