Refactor telemetry to use xarray #134
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sfinkens
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Oct 18, 2024
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sfinkens
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Very nice! Just some minor questions
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| ict = ds["ICT"].mean(dim="back_scan").data[:, -3:] | ||
| space = ds["space_counts"].mean(dim="back_scan").data[:, -3:] |
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Could
.data[:, -3:]
be replaced with
.sel(channel_name=slice(-3, None)).data
?
| prt_counts = xr.DataArray(hmf_array["telemetry"]["PRT"], | ||
| dims=["scan_line_index", "PRT_measurement"]) | ||
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| # getting ICT counts |
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I think you could also remove the comments
| return potential_tbm_header.copy() | ||
| data_set_name = cls._decode_data_set_name(data_set_name) | ||
| tbm_header = potential_tbm_header.copy() | ||
| tbm_header["data_set_name"] = data_set_name.decode().strip("\x80").encode() |
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Could the .decode().strip().encode() part be moved to _decode_data_set_name?
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This PR refactors the telemetry fetching to use xarray, and in the case of POD, the hmf frames are also decoded in a clearer manner.