kopia lustrzana https://github.com/NanoVNA-Saver/nanovna-saver
173 wiersze
5.8 KiB
Python
173 wiersze
5.8 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 dataclasses import dataclass
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import math
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import logging
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from typing import List
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from PyQt5 import QtGui
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from NanoVNASaver.Charts.Chart import Chart
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from NanoVNASaver.Charts.Frequency import FrequencyChart
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from NanoVNASaver.RFTools import Datapoint
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from NanoVNASaver.SITools import log_floor_125
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logger = logging.getLogger(__name__)
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@dataclass
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class TickVal:
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count: int = 0
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first: float = 0.0
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step: float = 0.0
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def span2ticks(span: float, min_val: float) -> TickVal:
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span = abs(span)
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step = log_floor_125(span / 5)
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count = math.floor(span / step)
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first = math.ceil(min_val / step) * step
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if first == min_val:
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first += step
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return TickVal(count, first, step)
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class LogMagChart(FrequencyChart):
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def __init__(self, name=""):
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super().__init__(name)
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self.name_unit = "dB"
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self.minDisplayValue = -80
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self.maxDisplayValue = 10
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self.minValue = 0.0
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self.maxValue = 1.0
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self.span = 1.0
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self.isInverted = False
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def drawValues(self, qp: QtGui.QPainter) -> None:
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if len(self.data) == 0 and len(self.reference) == 0:
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return
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self._set_start_stop()
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# Draw bands if required
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if self.bands.enabled:
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self.drawBands(qp, self.fstart, self.fstop)
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self.calc_scaling()
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self.draw_grid(qp)
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self.drawData(qp, self.data, Chart.color.sweep)
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self.drawData(qp, self.reference, Chart.color.reference)
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self.drawMarkers(qp)
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def calc_scaling(self) -> None:
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if self.fixedValues:
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maxValue = self.maxDisplayValue
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minValue = self.minDisplayValue
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else:
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# Find scaling
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minValue = 100
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maxValue = -100
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for d in self.data:
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logmag = self.logMag(d)
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if math.isinf(logmag):
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continue
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maxValue = max(maxValue, logmag)
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minValue = min(minValue, logmag)
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# Also check min/max for the reference sweep
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for d in self.reference:
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if d.freq < self.fstart or d.freq > self.fstop:
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continue
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logmag = self.logMag(d)
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if math.isinf(logmag):
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continue
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maxValue = max(maxValue, logmag)
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minValue = min(minValue, logmag)
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minValue = 10 * math.floor(minValue / 10)
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maxValue = 10 * math.ceil(maxValue / 10)
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self.minValue = minValue
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self.maxValue = maxValue
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def draw_grid(self, qp):
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self.span = (self.maxValue - self.minValue) or 0.01
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ticks = span2ticks(self.span, self.minValue)
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self.draw_db_lines(qp, self.maxValue, self.minValue, ticks)
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qp.setPen(QtGui.QPen(Chart.color.foreground))
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qp.drawLine(self.leftMargin - 5, self.topMargin,
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self.leftMargin + self.dim.width, self.topMargin)
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qp.setPen(Chart.color.text)
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qp.drawText(3, self.topMargin + 4, f"{self.maxValue}")
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qp.drawText(3, self.dim.height + self.topMargin, f"{self.minValue}")
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self.drawFrequencyTicks(qp)
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self.draw_swr_markers(qp)
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def draw_db_lines(self, qp, maxValue, minValue, ticks) -> None:
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for i in range(ticks.count):
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db = ticks.first + i * ticks.step
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y = self.topMargin + round(
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(maxValue - db) / self.span * self.dim.height)
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qp.setPen(QtGui.QPen(Chart.color.foreground))
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qp.drawLine(self.leftMargin - 5, y,
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self.leftMargin + self.dim.width, y)
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if db > minValue and db != maxValue:
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qp.setPen(QtGui.QPen(Chart.color.text))
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qp.drawText(3, y + 4,
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f"{round(db, 1)}" if ticks.step < 1 else f"{db}")
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def draw_swr_markers(self, qp) -> None:
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qp.setPen(Chart.color.swr)
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for vswr in self.swrMarkers:
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if vswr <= 1:
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continue
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logMag = 20 * math.log10((vswr - 1) / (vswr + 1))
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if self.isInverted:
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logMag = logMag * -1
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y = self.topMargin + round(
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(self.maxValue - logMag) / self.span * self.dim.height)
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qp.drawLine(self.leftMargin, y,
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self.leftMargin + self.dim.width, y)
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qp.drawText(self.leftMargin + 3, y - 1, f"VSWR: {vswr}")
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def getYPosition(self, d: Datapoint) -> int:
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logMag = self.logMag(d)
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if math.isinf(logMag):
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return self.topMargin
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return self.topMargin + int(
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(self.maxValue - logMag) / self.span * self.dim.height)
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def valueAtPosition(self, y) -> List[float]:
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absy = y - self.topMargin
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val = -1 * ((absy / self.dim.height * self.span) - self.maxValue)
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return [val]
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def logMag(self, p: Datapoint) -> float:
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return -p.gain if self.isInverted else p.gain
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def copy(self):
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new_chart: LogMagChart = super().copy()
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new_chart.isInverted = self.isInverted
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new_chart.span = self.span
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return new_chart
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