updated code in a few files to make it more understandable, also used .join method at a place to increase the speed.

toolboxes/Plotting/plot_source_wave.py

@@ -86,14 +86,14 @@ def mpl_plot(w, timewindow, dt, iterations, fft=False, save=False):
     logging.info(f'Type: {w.type}')
     logging.info(f'Maximum (absolute) amplitude: {np.max(np.abs(waveform)):g}')
 
-    if w.freq and not w.type == 'gaussian' and not w.type == 'impulse':
+    if w.freq and w.type != 'gaussian' and w.type != 'impulse':
         logging.info(f'Centre frequency: {w.freq:g} Hz')
 
-    if (w.type == 'gaussian' or w.type == 'gaussiandot' or w.type == 'gaussiandotnorm'
-        or w.type == 'gaussianprime' or w.type == 'gaussiandoubleprime'):
+    if w.type in ['gaussian', 'gaussiandot', 'gaussiandotnorm',
+                  'gaussianprime', 'gaussiandoubleprime']:
         delay = 1 / w.freq
         logging.info(f'Time to centre of pulse: {delay:g} s')
-    elif w.type == 'gaussiandotdot' or w.type == 'gaussiandotdotnorm' or w.type == 'ricker':
+    elif w.type in ['gaussiandotdot', 'gaussiandotdotnorm', 'ricker']:
         delay = np.sqrt(2) / w.freq
         logging.info(f'Time to centre of pulse: {delay:g} s')