Remove the microseconds from matplotlib spectrogram
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:
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
|
show 1 more comment
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:
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
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
|
show 1 more comment
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:
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
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:
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
python matplotlib spectrogram
edited Nov 23 '18 at 9:01
PyRar
asked Nov 23 '18 at 8:06
PyRarPyRar
1307
1307
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
|
show 1 more comment
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
|
show 1 more comment
1 Answer
1
active
oldest
votes
Using the code before your edit, you can change the return
of def timeTicks(x, pos)
in:
return str(d)[:7]
add a comment |
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1 Answer
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1 Answer
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active
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oldest
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active
oldest
votes
Using the code before your edit, you can change the return
of def timeTicks(x, pos)
in:
return str(d)[:7]
add a comment |
Using the code before your edit, you can change the return
of def timeTicks(x, pos)
in:
return str(d)[:7]
add a comment |
Using the code before your edit, you can change the return
of def timeTicks(x, pos)
in:
return str(d)[:7]
Using the code before your edit, you can change the return
of def timeTicks(x, pos)
in:
return str(d)[:7]
answered Nov 23 '18 at 10:48
JoeJoe
6,12421630
6,12421630
add a comment |
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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