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Description
Problem
I would like to have the x-axis showing the timestamps of the samples of audio files. Here is a minimal example:
import numpy as npfrom matplotlib import pyplot as pltfrom matplotlib import dates as mdatesfrom scipy.io import wavfile# Open the WAV filesaudio_1 = wavfile.read("audio1.wav")freq_audio_1 = audio_1[0]samples_1 = audio_1[1][:, 0] # Turn to monoaudio_2 = wavfile.read("audio2.wav")freq_audio_2 = audio_2[0]samples_2 = audio_2[1][:, 0] # Turn to mono# Create the timestampst_audio_1 = np.arange(0, len(samples_1)) / freq_audio_1t_audio_2 = np.arange(0, len(samples_2)) / freq_audio_2# We turn them into datetimet_audio_1 = np.array(t_audio_1*1000, dtype="datetime64[ms]")t_audio_2 = np.array(t_audio_2*1000, dtype="datetime64[ms]")# Create the figurefig, ax = plt.subplots(1, 2, constrained_layout=True)# If the audio files are more than 1 hour, we format as HH:MM:SS, else just MM:SSif len(samples_1) / freq_audio_1 >= 3600 and len(samples_2) / freq_audio_2 >= 3600 : formatter = mdates.AutoDateFormatter(mdates.AutoDateLocator(), defaultfmt='%H:%M:%S')else: formatter = mdates.AutoDateFormatter(mdates.AutoDateLocator(), defaultfmt='%M:%S')plt.gcf().axes[0].xaxis.set_major_formatter(formatter)plt.gcf().axes[1].xaxis.set_major_formatter(formatter)ax[0].plot(t_audio_1, samples_1)ax[1].plot(t_audio_2, samples_2)plt.show()Here is the output:
As you can see, the microsecond precision makes so that the ticks on the x axis are shown on top of each other.
Proposed solution
The ideal would be to have the plot automatically decide how many significant digits after the comma are necessary, depending on the level of zoom (in a similar fashion to the way Audacity displays timestamps).
Thank you :)