Remove the microseconds from matplotlib spectrogram












0















I've been trying to plot an spectogram based on a wav file of 15 minutes lenght. I think I managed to do this, but I can't remove the microseconds from my x axis ( time axis). Any help with this, please?



This is the spectrogram obtained:



enter image description here



This is my code:



import matplotlib.pyplot as plt
import scipy.io.wavfile as wavfile
import matplotlib.ticker as ticker
from matplotlib.dates import DateFormatter, MinuteLocator
import time
# Prettify
import matplotlib
import datetime
matplotlib.rc('figure', figsize=(17, 5))

cmap = plt.get_cmap('plasma') # this may fail on older versions of matplotlib
vmin = -40 # hide anything below -40 dB
cmap.set_under(color='k', alpha=None)

rate, frames = wavfile.read("audio_test.wav")
fig, ax = plt.subplots()
pxx, freq, t, cax = ax.specgram(frames[:, 0], # first channel
Fs=rate, # to get frequency axis in Hz
cmap=cmap, vmin=vmin)
cbar = fig.colorbar(cax)
cbar.set_label('Intensity dB')
ax.axis("tight")



ax.set_xlabel('time h:mm:ss')
ax.set_ylabel('frequency kHz')

scale = 1e3 # KHz
ticks = matplotlib.ticker.FuncFormatter(lambda x, pos: '{0:g}'.format(x/scale))
ax.yaxis.set_major_formatter(ticks)

def timeTicks(x, pos):
d = datetime.timedelta(seconds=x)
return str(d)
#formatter = matplotlib.ticker.FuncFormatter(timeTicks)
#ax.xaxis.set_major_formatter(formatter)

majorFormatter = matplotlib.dates.DateFormatter('%H:%M:%S')
ax.xaxis.set_major_formatter(majorFormatter)
ax.xaxis.set_major_locator(ticker.IndexLocator(base=120, offset=60))
#ax.text(0.0, 0.1, "IndexLocator(base=0.5, offset=0.25)",
# fontsize=14, transform=ax.transAxes)
plt.show()









share|improve this question

























  • can you post a data sample?

    – Joe
    Nov 23 '18 at 8:07













  • Hello @Joe! Not quite. It's a ".wav" file with different audio sounds. But I'm not allowed to share it :(

    – PyRar
    Nov 23 '18 at 8:10











  • You can try with something like this: majorFormatter = matplotlib.dates.DateFormatter('%H:%M:%S') ax.xaxis.set_major_formatter(majorFormatter)

    – Joe
    Nov 23 '18 at 8:14













  • Thank you @Joe ! It kind of works. But it shows me only "00:02:05" on the time axis. I'll update the photo of the spectrogram and the code. Don't know why it does this...

    – PyRar
    Nov 23 '18 at 8:59











  • @Joe it return an error: TypeError: 'datetime.timedelta' object is not subscriptable

    – PyRar
    Nov 23 '18 at 9:37
















0















I've been trying to plot an spectogram based on a wav file of 15 minutes lenght. I think I managed to do this, but I can't remove the microseconds from my x axis ( time axis). Any help with this, please?



This is the spectrogram obtained:



enter image description here



This is my code:



import matplotlib.pyplot as plt
import scipy.io.wavfile as wavfile
import matplotlib.ticker as ticker
from matplotlib.dates import DateFormatter, MinuteLocator
import time
# Prettify
import matplotlib
import datetime
matplotlib.rc('figure', figsize=(17, 5))

cmap = plt.get_cmap('plasma') # this may fail on older versions of matplotlib
vmin = -40 # hide anything below -40 dB
cmap.set_under(color='k', alpha=None)

rate, frames = wavfile.read("audio_test.wav")
fig, ax = plt.subplots()
pxx, freq, t, cax = ax.specgram(frames[:, 0], # first channel
Fs=rate, # to get frequency axis in Hz
cmap=cmap, vmin=vmin)
cbar = fig.colorbar(cax)
cbar.set_label('Intensity dB')
ax.axis("tight")



ax.set_xlabel('time h:mm:ss')
ax.set_ylabel('frequency kHz')

scale = 1e3 # KHz
ticks = matplotlib.ticker.FuncFormatter(lambda x, pos: '{0:g}'.format(x/scale))
ax.yaxis.set_major_formatter(ticks)

def timeTicks(x, pos):
d = datetime.timedelta(seconds=x)
return str(d)
#formatter = matplotlib.ticker.FuncFormatter(timeTicks)
#ax.xaxis.set_major_formatter(formatter)

majorFormatter = matplotlib.dates.DateFormatter('%H:%M:%S')
ax.xaxis.set_major_formatter(majorFormatter)
ax.xaxis.set_major_locator(ticker.IndexLocator(base=120, offset=60))
#ax.text(0.0, 0.1, "IndexLocator(base=0.5, offset=0.25)",
# fontsize=14, transform=ax.transAxes)
plt.show()









share|improve this question

























  • can you post a data sample?

    – Joe
    Nov 23 '18 at 8:07













  • Hello @Joe! Not quite. It's a ".wav" file with different audio sounds. But I'm not allowed to share it :(

    – PyRar
    Nov 23 '18 at 8:10











  • You can try with something like this: majorFormatter = matplotlib.dates.DateFormatter('%H:%M:%S') ax.xaxis.set_major_formatter(majorFormatter)

    – Joe
    Nov 23 '18 at 8:14













  • Thank you @Joe ! It kind of works. But it shows me only "00:02:05" on the time axis. I'll update the photo of the spectrogram and the code. Don't know why it does this...

    – PyRar
    Nov 23 '18 at 8:59











  • @Joe it return an error: TypeError: 'datetime.timedelta' object is not subscriptable

    – PyRar
    Nov 23 '18 at 9:37














0












0








0








I've been trying to plot an spectogram based on a wav file of 15 minutes lenght. I think I managed to do this, but I can't remove the microseconds from my x axis ( time axis). Any help with this, please?



This is the spectrogram obtained:



enter image description here



This is my code:



import matplotlib.pyplot as plt
import scipy.io.wavfile as wavfile
import matplotlib.ticker as ticker
from matplotlib.dates import DateFormatter, MinuteLocator
import time
# Prettify
import matplotlib
import datetime
matplotlib.rc('figure', figsize=(17, 5))

cmap = plt.get_cmap('plasma') # this may fail on older versions of matplotlib
vmin = -40 # hide anything below -40 dB
cmap.set_under(color='k', alpha=None)

rate, frames = wavfile.read("audio_test.wav")
fig, ax = plt.subplots()
pxx, freq, t, cax = ax.specgram(frames[:, 0], # first channel
Fs=rate, # to get frequency axis in Hz
cmap=cmap, vmin=vmin)
cbar = fig.colorbar(cax)
cbar.set_label('Intensity dB')
ax.axis("tight")



ax.set_xlabel('time h:mm:ss')
ax.set_ylabel('frequency kHz')

scale = 1e3 # KHz
ticks = matplotlib.ticker.FuncFormatter(lambda x, pos: '{0:g}'.format(x/scale))
ax.yaxis.set_major_formatter(ticks)

def timeTicks(x, pos):
d = datetime.timedelta(seconds=x)
return str(d)
#formatter = matplotlib.ticker.FuncFormatter(timeTicks)
#ax.xaxis.set_major_formatter(formatter)

majorFormatter = matplotlib.dates.DateFormatter('%H:%M:%S')
ax.xaxis.set_major_formatter(majorFormatter)
ax.xaxis.set_major_locator(ticker.IndexLocator(base=120, offset=60))
#ax.text(0.0, 0.1, "IndexLocator(base=0.5, offset=0.25)",
# fontsize=14, transform=ax.transAxes)
plt.show()









share|improve this question
















I've been trying to plot an spectogram based on a wav file of 15 minutes lenght. I think I managed to do this, but I can't remove the microseconds from my x axis ( time axis). Any help with this, please?



This is the spectrogram obtained:



enter image description here



This is my code:



import matplotlib.pyplot as plt
import scipy.io.wavfile as wavfile
import matplotlib.ticker as ticker
from matplotlib.dates import DateFormatter, MinuteLocator
import time
# Prettify
import matplotlib
import datetime
matplotlib.rc('figure', figsize=(17, 5))

cmap = plt.get_cmap('plasma') # this may fail on older versions of matplotlib
vmin = -40 # hide anything below -40 dB
cmap.set_under(color='k', alpha=None)

rate, frames = wavfile.read("audio_test.wav")
fig, ax = plt.subplots()
pxx, freq, t, cax = ax.specgram(frames[:, 0], # first channel
Fs=rate, # to get frequency axis in Hz
cmap=cmap, vmin=vmin)
cbar = fig.colorbar(cax)
cbar.set_label('Intensity dB')
ax.axis("tight")



ax.set_xlabel('time h:mm:ss')
ax.set_ylabel('frequency kHz')

scale = 1e3 # KHz
ticks = matplotlib.ticker.FuncFormatter(lambda x, pos: '{0:g}'.format(x/scale))
ax.yaxis.set_major_formatter(ticks)

def timeTicks(x, pos):
d = datetime.timedelta(seconds=x)
return str(d)
#formatter = matplotlib.ticker.FuncFormatter(timeTicks)
#ax.xaxis.set_major_formatter(formatter)

majorFormatter = matplotlib.dates.DateFormatter('%H:%M:%S')
ax.xaxis.set_major_formatter(majorFormatter)
ax.xaxis.set_major_locator(ticker.IndexLocator(base=120, offset=60))
#ax.text(0.0, 0.1, "IndexLocator(base=0.5, offset=0.25)",
# fontsize=14, transform=ax.transAxes)
plt.show()






python matplotlib spectrogram






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share|improve this question













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edited Nov 23 '18 at 9:01







PyRar

















asked Nov 23 '18 at 8:06









PyRarPyRar

1087




1087













  • can you post a data sample?

    – Joe
    Nov 23 '18 at 8:07













  • Hello @Joe! Not quite. It's a ".wav" file with different audio sounds. But I'm not allowed to share it :(

    – PyRar
    Nov 23 '18 at 8:10











  • You can try with something like this: majorFormatter = matplotlib.dates.DateFormatter('%H:%M:%S') ax.xaxis.set_major_formatter(majorFormatter)

    – Joe
    Nov 23 '18 at 8:14













  • Thank you @Joe ! It kind of works. But it shows me only "00:02:05" on the time axis. I'll update the photo of the spectrogram and the code. Don't know why it does this...

    – PyRar
    Nov 23 '18 at 8:59











  • @Joe it return an error: TypeError: 'datetime.timedelta' object is not subscriptable

    – PyRar
    Nov 23 '18 at 9:37



















  • can you post a data sample?

    – Joe
    Nov 23 '18 at 8:07













  • Hello @Joe! Not quite. It's a ".wav" file with different audio sounds. But I'm not allowed to share it :(

    – PyRar
    Nov 23 '18 at 8:10











  • You can try with something like this: majorFormatter = matplotlib.dates.DateFormatter('%H:%M:%S') ax.xaxis.set_major_formatter(majorFormatter)

    – Joe
    Nov 23 '18 at 8:14













  • Thank you @Joe ! It kind of works. But it shows me only "00:02:05" on the time axis. I'll update the photo of the spectrogram and the code. Don't know why it does this...

    – PyRar
    Nov 23 '18 at 8:59











  • @Joe it return an error: TypeError: 'datetime.timedelta' object is not subscriptable

    – PyRar
    Nov 23 '18 at 9:37

















can you post a data sample?

– Joe
Nov 23 '18 at 8:07







can you post a data sample?

– Joe
Nov 23 '18 at 8:07















Hello @Joe! Not quite. It's a ".wav" file with different audio sounds. But I'm not allowed to share it :(

– PyRar
Nov 23 '18 at 8:10





Hello @Joe! Not quite. It's a ".wav" file with different audio sounds. But I'm not allowed to share it :(

– PyRar
Nov 23 '18 at 8:10













You can try with something like this: majorFormatter = matplotlib.dates.DateFormatter('%H:%M:%S') ax.xaxis.set_major_formatter(majorFormatter)

– Joe
Nov 23 '18 at 8:14







You can try with something like this: majorFormatter = matplotlib.dates.DateFormatter('%H:%M:%S') ax.xaxis.set_major_formatter(majorFormatter)

– Joe
Nov 23 '18 at 8:14















Thank you @Joe ! It kind of works. But it shows me only "00:02:05" on the time axis. I'll update the photo of the spectrogram and the code. Don't know why it does this...

– PyRar
Nov 23 '18 at 8:59





Thank you @Joe ! It kind of works. But it shows me only "00:02:05" on the time axis. I'll update the photo of the spectrogram and the code. Don't know why it does this...

– PyRar
Nov 23 '18 at 8:59













@Joe it return an error: TypeError: 'datetime.timedelta' object is not subscriptable

– PyRar
Nov 23 '18 at 9:37





@Joe it return an error: TypeError: 'datetime.timedelta' object is not subscriptable

– PyRar
Nov 23 '18 at 9:37












1 Answer
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Using the code before your edit, you can change the return of def timeTicks(x, pos) in:



return str(d)[:7]





share|improve this answer























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    1 Answer
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    1 Answer
    1






    active

    oldest

    votes









    active

    oldest

    votes






    active

    oldest

    votes









    1














    Using the code before your edit, you can change the return of def timeTicks(x, pos) in:



    return str(d)[:7]





    share|improve this answer




























      1














      Using the code before your edit, you can change the return of def timeTicks(x, pos) in:



      return str(d)[:7]





      share|improve this answer


























        1












        1








        1







        Using the code before your edit, you can change the return of def timeTicks(x, pos) in:



        return str(d)[:7]





        share|improve this answer













        Using the code before your edit, you can change the return of def timeTicks(x, pos) in:



        return str(d)[:7]






        share|improve this answer












        share|improve this answer



        share|improve this answer










        answered Nov 23 '18 at 10:48









        JoeJoe

        5,96421329




        5,96421329






























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