v0.3.9

.gitattributes

@@ -0,0 +1,7 @@
+# Default for all text files
+*     text=auto whitespace=trailing-space,tab-in-indent,tabwidth=2
+*.py  text=auto whitespace=trailing-space,tab-in-indent,tabwidth=4
+
+# Denote all files that are truly binary and should not be modified.
+*.png binary
+*.jpg binary

.gitignore

@@ -11,3 +11,4 @@
 settings.json
 .gitignore
 .coverage
+/nanovna-saver.exe.spec

CHANGELOG.md

@@ -1,6 +1,14 @@
 Changelog
 =========
 
+v0.3.9
+------
+
+- TX Power on V2
+- New analysis
+- Magnitude Z Chart
+- VSWR Chart improvements
+
 v0.3.8
 ------
 

NanoVNASaver/About.py

@@ -17,7 +17,7 @@
 #  You should have received a copy of the GNU General Public License
 #  along with this program.  If not, see <https://www.gnu.org/licenses/>.
 
-VERSION = "0.3.8"
+VERSION = "0.3.9"
 VERSION_URL = (
     "https://raw.githubusercontent.com/"
     "NanoVNA-Saver/nanovna-saver/master/NanoVNASaver/About.py")

NanoVNASaver/Analysis/Analysis.py

@@ -18,15 +18,109 @@
 #  along with this program.  If not, see <https://www.gnu.org/licenses/>.
 import logging
 import math
-
+import numpy as np
+from scipy.signal import argrelextrema
 from PyQt5 import QtWidgets
+from scipy import signal
 
 logger = logging.getLogger(__name__)
 
 
 class Analysis:
     _widget = None
 
+    @classmethod
+    def find_crossing_zero(cls, data, threshold=0):
+        '''
+
+        Find values  crossing zero
+        return list of tuples (before, crossing, after)
+        indicating the index of data list
+        crossing is where data == 0
+        or data nearest 0
+
+        at maximum 1 value == 0
+        data must not start or end with 0
+
+
+        :param cls:
+        :param data: list of values
+        :param threshold: unused, for future manage flipping around 0
+        '''
+        my_data = np.array(data)
+        zeroes = np.where(my_data == 0)[0]
+
+        if 0 in zeroes:
+            raise ValueError("Data  must non start with 0")
+
+        if len(data) - 1 in zeroes:
+            raise ValueError("Data  must non end with 0")
+        crossing = [(n - 1, n, n + 1) for n in zeroes]
+
+        for n in np.where((my_data[:-1] * my_data[1:]) < 0)[0]:
+            if abs(data[n]) <= abs(data[n + 1]):
+                crossing.append((n, n, n + 1))
+            else:
+                crossing.append((n, n + 1, n + 1))
+
+        return crossing
+
+    @classmethod
+    def find_minimums(cls, data, threshold):
+        '''
+
+        Find values above threshold
+        return list of tuples (start, lowest, end)
+        indicating the index of data list
+
+
+        :param cls:
+        :param data: list of values
+        :param threshold:
+        '''
+
+        minimums = []
+        min_start = -1
+        min_idx = -1
+
+        min_val = threshold
+        for i, d in enumerate(data):
+            if d < threshold and i < len(data) - 1:
+                if d < min_val:
+                    min_val = d
+                    min_idx = i
+                if min_start == -1:
+                    min_start = i
+            elif min_start != -1:
+                # We are above the threshold, and were in a section that was
+                # below
+                minimums.append((min_start, min_idx, i - 1))
+                min_start = -1
+                min_idx = -1
+                min_val = threshold
+        return minimums
+
+    @classmethod
+    def find_maximums(cls, data, threshold=None):
+        '''
+
+        Find peacs
+
+
+        :param cls:
+        :param data: list of values
+        :param threshold:
+        '''
+        peaks, _ = signal.find_peaks(
+            data, width=2, distance=3, prominence=1)
+
+#         my_data = np.array(data)
+#         maximums = argrelextrema(my_data, np.greater)[0]
+        if threshold is None:
+            return peaks
+        else:
+            return [k for k in peaks if data[k] > threshold]
+
     def __init__(self, app: QtWidgets.QWidget):
         self.app = app
 
@@ -50,8 +144,10 @@ def calculateRolloff(self, location1, location2):
         if frequency_factor < 1:
             frequency_factor = 1 / frequency_factor
         attenuation = abs(gain1 - gain2)
-        logger.debug("Measured points: %d Hz and %d Hz", frequency1, frequency2)
+        logger.debug("Measured points: %d Hz and %d Hz",
+                     frequency1, frequency2)
         logger.debug("%f dB over %f factor", attenuation, frequency_factor)
-        octave_attenuation = attenuation / (math.log10(frequency_factor) / math.log10(2))
+        octave_attenuation = attenuation / \
+            (math.log10(frequency_factor) / math.log10(2))
         decade_attenuation = attenuation / math.log10(frequency_factor)
         return octave_attenuation, decade_attenuation

NanoVNASaver/Analysis/PeakSearchAnalysis.py

@@ -23,6 +23,10 @@
 import numpy as np
 
 from NanoVNASaver.Analysis import Analysis
+from NanoVNASaver.Formatting import format_vswr
+from NanoVNASaver.Formatting import format_gain
+from NanoVNASaver.Formatting import format_resistance
+from NanoVNASaver.Formatting import format_frequency_short
 
 
 logger = logging.getLogger(__name__)
@@ -38,8 +42,8 @@ def __init__(self, app):
         super().__init__(app)
 
         self._widget = QtWidgets.QWidget()
-        outer_layout = QtWidgets.QFormLayout()
-        self._widget.setLayout(outer_layout)
+        self.layout = QtWidgets.QFormLayout()
+        self._widget.setLayout(self.layout)
 
         self.rbtn_data_group = QtWidgets.QButtonGroup()
         self.rbtn_data_vswr = QtWidgets.QRadioButton("VSWR")
@@ -70,40 +74,56 @@ def __init__(self, app):
 
         self.checkbox_move_markers = QtWidgets.QCheckBox()
 
-        outer_layout.addRow(QtWidgets.QLabel("<b>Settings</b>"))
-        outer_layout.addRow("Data source", self.rbtn_data_vswr)
-        outer_layout.addRow("", self.rbtn_data_resistance)
-        outer_layout.addRow("", self.rbtn_data_reactance)
-        outer_layout.addRow("", self.rbtn_data_s21_gain)
-        outer_layout.addRow(PeakSearchAnalysis.QHLine())
-        outer_layout.addRow("Peak type", self.rbtn_peak_positive)
-        outer_layout.addRow("", self.rbtn_peak_negative)
+        self.layout.addRow(QtWidgets.QLabel("<b>Settings</b>"))
+        self.layout.addRow("Data source", self.rbtn_data_vswr)
+        self.layout.addRow("", self.rbtn_data_resistance)
+        self.layout.addRow("", self.rbtn_data_reactance)
+        self.layout.addRow("", self.rbtn_data_s21_gain)
+        self.layout.addRow(PeakSearchAnalysis.QHLine())
+        self.layout.addRow("Peak type", self.rbtn_peak_positive)
+        self.layout.addRow("", self.rbtn_peak_negative)
         # outer_layout.addRow("", self.rbtn_peak_both)
-        outer_layout.addRow(PeakSearchAnalysis.QHLine())
-        outer_layout.addRow("Max number of peaks", self.input_number_of_peaks)
-        outer_layout.addRow("Move markers", self.checkbox_move_markers)
-        outer_layout.addRow(PeakSearchAnalysis.QHLine())
-
-        outer_layout.addRow(QtWidgets.QLabel("<b>Results</b>"))
+        self.layout.addRow(PeakSearchAnalysis.QHLine())
+        self.layout.addRow("Max number of peaks", self.input_number_of_peaks)
+        self.layout.addRow("Move markers", self.checkbox_move_markers)
+        self.layout.addRow(PeakSearchAnalysis.QHLine())
+        self.layout.addRow(QtWidgets.QLabel("<b>Results</b>"))
+        self.results_header = self.layout.rowCount()
 
     def runAnalysis(self):
+        self.reset()
+        data = []
+        sign = 1
         count = self.input_number_of_peaks.value()
         if self.rbtn_data_vswr.isChecked():
-            data = []
+            fn = format_vswr
             for d in self.app.data11:
-                data11.append(d.vswr)
+                data.append(d.vswr)
         elif self.rbtn_data_s21_gain.isChecked():
-            data = []
+            fn = format_gain
             for d in self.app.data21:
                 data.append(d.gain)
+        elif self.rbtn_data_resistance.isChecked():
+            fn = format_resistance
+            for d in self.app.data11:
+                data.append(d.impedance().real)
+        elif self.rbtn_data_reactance.isChecked():
+            fn = str
+            for d in self.app.data11:
+                data.append(d.impedance().imag)
+
         else:
             logger.warning("Searching for peaks on unknown data")
             return
 
         if self.rbtn_peak_positive.isChecked():
-            peaks, _ = signal.find_peaks(data, width=3, distance=3, prominence=1)
+            peaks, _ = signal.find_peaks(
+                data, width=3, distance=3, prominence=1)
         elif self.rbtn_peak_negative.isChecked():
-            peaks, _ = signal.find_peaks(np.array(data)*-1, width=3, distance=3, prominence=1)
+            sign = -1
+            data = [x * sign for x in data]
+            peaks, _ = signal.find_peaks(
+                data, width=3, distance=3, prominence=1)
         # elif self.rbtn_peak_both.isChecked():
         #     peaks_max, _ = signal.find_peaks(data, width=3, distance=3, prominence=1)
         #     peaks_min, _ = signal.find_peaks(np.array(data)*-1, width=3, distance=3, prominence=1)
@@ -117,8 +137,8 @@ def runAnalysis(self):
 
         # Having found the peaks, get the prominence data
 
-        for p in peaks:
-            logger.debug("Peak at %d", p)
+        for i, p in np.ndenumerate(peaks):
+            logger.debug("Peak %i at %d", i, p)
         prominences = signal.peak_prominences(data, peaks)[0]
         logger.debug("%d prominences", len(prominences))
 
@@ -131,9 +151,13 @@ def runAnalysis(self):
             logger.debug("Prominence %f", prominences[i])
             logger.debug("Index in sweep %d", peaks[i])
             logger.debug("Frequency %d", self.app.data11[peaks[i]].freq)
-            logger.debug("Value %f", data[peaks[i]])
+            logger.debug("Value %f", sign * data[peaks[i]])
+            self.layout.addRow(
+                f"Freq {format_frequency_short(self.app.data11[peaks[i]].freq)}",
+                QtWidgets.QLabel(f" value {fn(sign * data[peaks[i]])}"
+                                 ))
 
-        if self.checkbox_move_markers:
+        if self.checkbox_move_markers.isChecked():
             if count > len(self.app.markers):
                 logger.warning("More peaks found than there are markers")
             for i in range(min(count, len(self.app.markers))):
@@ -152,4 +176,10 @@ def runAnalysis(self):
         logger.debug("Max peak at %d, value %f", max_idx, max_val)
 
     def reset(self):
-        pass
+        logger.debug("Reset analysis")
+
+        logger.debug("Results start at %d, out of %d",
+                     self.results_header, self.layout.rowCount())
+        for i in range(self.results_header, self.layout.rowCount()):
+            logger.debug("deleting %s", self.layout.rowCount())
+            self.layout.removeRow(self.layout.rowCount() - 1)