kopia lustrzana https://github.com/NanoVNA-Saver/nanovna-saver
Merge branch 'split-file_Chart.py_LogMag.py' into split-file_Chart.py
commit
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# NanoVNASaver
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# A python program to view and export Touchstone data from a NanoVNA
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# Copyright (C) 2019. Rune B. Broberg
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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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import math
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import logging
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from typing import List
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from PyQt5 import QtWidgets, QtGui
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from NanoVNASaver.RFTools import Datapoint
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from .Frequency import FrequencyChart
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logger = logging.getLogger(__name__)
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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.leftMargin = 30
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self.chartWidth = 250
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self.chartHeight = 250
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self.minDisplayValue = -80
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self.maxDisplayValue = 10
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self.minValue = 0
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self.maxValue = 1
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self.span = 1
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self.isInverted = False
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self.setMinimumSize(self.chartWidth + self.rightMargin + self.leftMargin,
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self.chartHeight + self.topMargin + self.bottomMargin)
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self.setSizePolicy(QtWidgets.QSizePolicy(QtWidgets.QSizePolicy.MinimumExpanding,
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QtWidgets.QSizePolicy.MinimumExpanding))
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pal = QtGui.QPalette()
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pal.setColor(QtGui.QPalette.Background, self.backgroundColor)
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self.setPalette(pal)
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self.setAutoFillBackground(True)
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def drawChart(self, qp: QtGui.QPainter):
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qp.setPen(QtGui.QPen(self.textColor))
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qp.drawText(3, 15, self.name + " (dB)")
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qp.setPen(QtGui.QPen(self.foregroundColor))
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qp.drawLine(self.leftMargin, self.topMargin - 5,
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self.leftMargin, self.topMargin+self.chartHeight+5)
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qp.drawLine(self.leftMargin-5, self.topMargin+self.chartHeight,
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self.leftMargin+self.chartWidth, self.topMargin + self.chartHeight)
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self.drawTitle(qp)
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def drawValues(self, qp: QtGui.QPainter):
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if len(self.data) == 0 and len(self.reference) == 0:
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return
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pen = QtGui.QPen(self.sweepColor)
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pen.setWidth(self.pointSize)
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line_pen = QtGui.QPen(self.sweepColor)
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line_pen.setWidth(self.lineThickness)
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highlighter = QtGui.QPen(QtGui.QColor(20, 0, 255))
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highlighter.setWidth(1)
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if not self.fixedSpan:
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if len(self.data) > 0:
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fstart = self.data[0].freq
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fstop = self.data[len(self.data)-1].freq
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else:
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fstart = self.reference[0].freq
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fstop = self.reference[len(self.reference) - 1].freq
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self.fstart = fstart
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self.fstop = fstop
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else:
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fstart = self.fstart = self.minFrequency
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fstop = self.fstop = self.maxFrequency
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# Draw bands if required
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if self.bands.enabled:
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self.drawBands(qp, fstart, fstop)
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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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self.maxValue = maxValue
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self.minValue = minValue
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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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if logmag > maxValue:
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maxValue = logmag
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if logmag < minValue:
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minValue = logmag
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for d in self.reference: # Also check min/max for the reference sweep
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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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if logmag > maxValue:
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maxValue = logmag
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if logmag < minValue:
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minValue = logmag
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minValue = 10*math.floor(minValue/10)
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self.minValue = minValue
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maxValue = 10*math.ceil(maxValue/10)
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self.maxValue = maxValue
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span = maxValue-minValue
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if span == 0:
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span = 0.01
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self.span = span
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if self.span >= 50:
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# Ticks per 10dB step
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tick_count = math.floor(self.span/10)
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first_tick = math.ceil(self.minValue/10) * 10
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tick_step = 10
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if first_tick == minValue:
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first_tick += 10
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elif self.span >= 20:
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# 5 dB ticks
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tick_count = math.floor(self.span/5)
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first_tick = math.ceil(self.minValue/5) * 5
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tick_step = 5
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if first_tick == minValue:
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first_tick += 5
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elif self.span >= 10:
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# 2 dB ticks
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tick_count = math.floor(self.span/2)
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first_tick = math.ceil(self.minValue/2) * 2
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tick_step = 2
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if first_tick == minValue:
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first_tick += 2
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elif self.span >= 5:
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# 1dB ticks
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tick_count = math.floor(self.span)
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first_tick = math.ceil(minValue)
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tick_step = 1
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if first_tick == minValue:
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first_tick += 1
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elif self.span >= 2:
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# .5 dB ticks
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tick_count = math.floor(self.span*2)
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first_tick = math.ceil(minValue*2) / 2
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tick_step = .5
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if first_tick == minValue:
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first_tick += .5
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else:
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# .1 dB ticks
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tick_count = math.floor(self.span*10)
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first_tick = math.ceil(minValue*10) / 10
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tick_step = .1
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if first_tick == minValue:
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first_tick += .1
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for i in range(tick_count):
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db = first_tick + i * tick_step
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y = self.topMargin + round((maxValue - db)/span*self.chartHeight)
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qp.setPen(QtGui.QPen(self.foregroundColor))
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qp.drawLine(self.leftMargin-5, y, self.leftMargin+self.chartWidth, y)
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if db > minValue and db != maxValue:
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qp.setPen(QtGui.QPen(self.textColor))
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if tick_step < 1:
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dbstr = str(round(db, 1))
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else:
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dbstr = str(db)
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qp.drawText(3, y + 4, dbstr)
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qp.setPen(QtGui.QPen(self.foregroundColor))
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qp.drawLine(self.leftMargin - 5, self.topMargin,
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self.leftMargin + self.chartWidth, self.topMargin)
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qp.setPen(self.textColor)
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qp.drawText(3, self.topMargin + 4, str(maxValue))
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qp.drawText(3, self.chartHeight+self.topMargin, str(minValue))
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self.drawFrequencyTicks(qp)
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qp.setPen(self.swrColor)
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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((self.maxValue - logMag) / self.span * self.chartHeight)
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qp.drawLine(self.leftMargin, y, self.leftMargin + self.chartWidth, y)
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qp.drawText(self.leftMargin + 3, y - 1, "VSWR: " + str(vswr))
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self.drawData(qp, self.data, self.sweepColor)
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self.drawData(qp, self.reference, self.referenceColor)
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self.drawMarkers(qp)
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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 None
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return self.topMargin + round((self.maxValue - logMag) / self.span * self.chartHeight)
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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.chartHeight * self.span) - self.maxValue)
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return [val]
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def logMag(self, p: Datapoint) -> float:
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if self.isInverted:
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return -p.gain
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else:
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return 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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