kopia lustrzana https://github.com/NanoVNA-Saver/nanovna-saver
94 wiersze
3.7 KiB
Python
94 wiersze
3.7 KiB
Python
# NanoVNASaver
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#
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# A python program to view and export Touchstone data from a NanoVNA
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# Copyright (C) 2019, 2020 Rune B. Broberg
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# Copyright (C) 2020,2021 NanoVNA-Saver Authors
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#
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# This program is free software: you can redistribute it and/or modify
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# it under the terms of the GNU General Public License as published by
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# the Free Software Foundation, either version 3 of the License, or
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# (at your option) any later version.
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#
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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#
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# You should have received a copy of the GNU General Public License
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# along with this program. If not, see <https://www.gnu.org/licenses/>.
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from typing import List, NamedTuple
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from NanoVNASaver.RFTools import Datapoint
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class Label(NamedTuple):
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label_id: str
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name: str
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description: str
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default_active: bool
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TYPES = (
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Label("actualfreq", "Frequency", "Actual frequency", True),
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Label("lambda", "Wavelength", "Wavelength", False),
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Label("impedance", "Impedance", "Impedance", True),
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Label("admittance", "Admittance", "Admittance", False),
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Label("serr", "Series R", "Series R", False),
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Label("serlc", "Series X", "Series equivalent L/C", False),
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Label("serl", "Series L", "Series equivalent L", True),
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Label("serc", "Series C", "Series equivalent C", True),
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Label("parr", "Parallel R", "Parallel R", True),
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Label("parlc", "Parallel X", "Parallel equivalent L/C", True),
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Label("parl", "Parallel L", "Parallel equivalent L", False),
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Label("parc", "Parallel C", "Parallel equivalent C", False),
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Label("vswr", "VSWR", "VSWR", True),
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Label("returnloss", "Return loss", "Return loss", True),
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Label("s11mag", "|S11|", "S11 Magnitude", False),
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Label("s11q", "Quality factor", "S11 Quality factor", True),
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Label("s11z", "S11 |Z|", "S11 Z Magnitude", False),
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Label("s11phase", "S11 Phase", "S11 Phase", True),
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Label("s11polar", "S11 Polar", "S11 Polar", False),
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Label("s11groupdelay", "S11 Group Delay", "S11 Group Delay", False),
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Label("s21gain", "S21 Gain", "S21 Gain", True),
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Label("s21mag", "|S21|", "S21 Magnitude", False),
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Label("s21phase", "S21 Phase", "S21 Phase", True),
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Label("s21polar", "S21 Polar", "S21 Polar", False),
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Label("s21groupdelay", "S21 Group Delay", "S21 Group Delay", False),
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Label("s21magshunt", "S21 |Z| shunt", "S21 Z Magnitude shunt", False),
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Label("s21magseries", "S21 |Z| series", "S21 Z Magnitude series", False),
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Label("s21realimagshunt", "S21 R+jX shunt", "S21 Z Real+Imag shunt", False),
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Label("s21realimagseries", "S21 R+jX series", "S21 Z Real+Imag series", False),
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)
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def default_label_ids() -> str:
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return [l.label_id for l in TYPES if l.default_active]
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class Value():
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"""Contains the data area to calculate marker values from"""
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def __init__(self, freq: int = 0,
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s11: List[Datapoint] = None,
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s21: List[Datapoint] = None):
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self.freq = freq
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self.s11 = [] if s11 is None else s11[:]
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self.s21 = [] if s21 is None else s21[:]
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def store(self, index: int,
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s11: List[Datapoint],
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s21: List[Datapoint]):
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# handle boundaries
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if index == 0:
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index = 1
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s11 = [s11[0], ] + s11
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if s21:
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s21 = [s21[0], ] + s21
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if index == len(s11):
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s11 += [s11[-1], ]
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if s21:
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s21 += [s21[-1], ]
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self.freq = s11[1].freq
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self.s11 = s11[index-1:index+2]
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if s21:
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self.s21 = s21[index-1:index+2]
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