Better calculation of time array, using linspace instead of arange.

tools/plot_Ascan.py

@@ -40,7 +40,8 @@ f = h5py.File(file, 'r')
 nrx = f.attrs['nrx']
 dt = f.attrs['dt']
 iterations = f.attrs['Iterations']
-time = np.arange(0, dt * iterations, dt)
+time = np.linspace(0, 1, iterations)
+time *= (iterations * dt)
 
 # Check for single output component when doing a FFT
 if args.fft:

tools/plot_antenna_params.py

@@ -43,8 +43,8 @@ iterations = f.attrs['Iterations']
 #iterations = int((1 / df) / dt)
 
 # Calculate time array and frequency bin spacing
-time = np.arange(0, dt * iterations, dt)
-time = time[0:iterations]
+time = np.linspace(0, 1, iterations)
+time *= (iterations * dt)
 df = 1 / np.amax(time)
 
 print('Time window: {:g} s ({} iterations)'.format(np.amax(time), iterations))

tools/plot_builtin_wave.py

@@ -62,7 +62,8 @@ else:
     timewindow = (int(args.timewindow) - 1) * dt
     iterations = int(args.timewindow)
 
-time = np.arange(0, timewindow, dt)
+time = np.linspace(0, 1, iterations)
+time *= (iterations * dt)
 waveform = np.zeros(len(time))
 timeiter = np.nditer(time, flags=['c_index'])