bro idk

main.py

@@ -176,9 +176,10 @@ class ApplicationWindow(QMainWindow, Ui_MainWindow):
         # Graphics plot
         self.PlotWidget.setXRange(0, 100, padding=0)  # x axis range
         self.PlotWidget.setYRange(0, 1, padding=0)  # y axis range
+        self.PlotWidget.setLogMode(False, False)
+        self.PlotWidget.setMouseEnabled(x=False, y=False)
         self.PlotWidget.getAxis("bottom").setTicks([])  # Remove x-axis ticks
         self.PlotWidget.getAxis("bottom").setLabel("")  # Remove x-axis label
-        self.PlotWidget.setLogMode(False, False)
         # Remove y-axis labels and decorations
         self.PlotWidget.getAxis("left").setTicks([])  # Remove y-axis ticks
         self.PlotWidget.getAxis("left").setLabel("")  # Remove y-axis label
@@ -392,7 +393,7 @@ class ApplicationWindow(QMainWindow, Ui_MainWindow):
         self.clear_audio_visualization()
         y = self.audio_visualizer.get_amplitudes()
         x = [i for i in range(len(y))]
-        self.PlotWidget.setLogMode(True, True)
+        # x = nparray([0, 31.25, 62.5, 125, 250, 500, 1000, 2000, 4000, 8000, 15000, 20000])
         self.PlotWidget.plot(x, y, fillLevel=0, fillBrush=mkBrush("b"))
         self.PlotWidget.show()
 

utils/fft_analyser.py

@@ -6,11 +6,11 @@ from PyQt5 import QtCore
 from pydub import AudioSegment
 import numpy as np
 from scipy.ndimage.filters import gaussian_filter1d
-from logging import debug
+from logging import debug, info
 
 
 class FFTAnalyser(QtCore.QThread):
-    """Analyses a song on a playlist using FFTs."""
+    """Analyses a song using FFTs."""
 
     calculated_visual = QtCore.pyqtSignal(np.ndarray)
 
@@ -57,7 +57,6 @@ class FFTAnalyser(QtCore.QThread):
         freq = np.fft.fftfreq(fourier.size, d=0.05)
         amps = 2 / v_sample.size * np.abs(fourier)
         data = np.array([freq, amps]).T
-        # info(data)
 
         point_range = 1 / self.resolution
         point_samples = []