Commit c6f2cd05 by Gregor Moenke

### FFT plotting reworked

parent 53bc496d
 ... ... @@ -144,18 +144,6 @@ def mk_Fourier_ax(fig, time_unit="a.u.", show_periods=False): def Fourier_spec(ax, fft_freqs, fft_power, show_periods=False): freq_bin_width = np.diff(fft_freqs)[0] pow_max_ind = np.argmax(fft_power) # heuristically determine bin width by looking # at the most prominent period if pow_max_ind < len(fft_freqs): per_bin_width = 1/fft_freqs[pow_max_ind] - 1/fft_freqs[pow_max_ind + 1] else: per_bin_width = 1/fft_freqs[pow_max_ind] - 1/fft_freqs[pow_max_ind - 1] if show_periods: ... ... @@ -165,25 +153,16 @@ def Fourier_spec(ax, fft_freqs, fft_power, show_periods=False): if len(fft_freqs) < 300: ax.bar( ax.vlines( 1 / fft_freqs[1:], 0, fft_power[1:], alpha=0.4, edgecolor="k", lw=2, alpha=0.8, color=FOURIER_COLOR, width= 0.5 * per_bin_width, ) # ax.vlines( # 1 / fft_freqs[1:], # 0, # fft_power[1:], # lw=2, # alpha=0.8, # color=FOURIER_COLOR, # ) # plot differently for very long data # plot differently for very long signals else: ax.plot( 1 / fft_freqs[1:], ... ... @@ -199,13 +178,13 @@ def Fourier_spec(ax, fft_freqs, fft_power, show_periods=False): if len(fft_freqs) < 300: # frequency view ax.bar( ax.vlines( fft_freqs, 0, fft_power, alpha=0.4, edgecolor="k", alpha=0.8, color=FOURIER_COLOR, width=0.8 * freq_bin_width, lw = 2 ) else: ax.plot(fft_freqs, fft_power, ".", ms=1, alpha=0.8, color=FOURIER_COLOR) ... ...
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