If you're using pyplot.specgram (i.e. "from pylab import *;
specgram(...)"), note that the plot is in dB, hence the negative
values.
I'm surprised this fact isn't mentioned in the documentation:
http://matplotlib.org/api/pyplot_api.html?highlight=specgram#matplotlib.pyplot.specgram
However, when i
Hi,
If you trace back into the code further, you will see that the Pxx is
computed as X = fft(x), Pxx = X * conj(X) which is real, but the data
type will be complex with a ~0 imaginary part (up to floating point
precision). Thus the Pxx.real is just to ensure that the resulting
data type is real in
Hi,
not 100% sure this is a bug, but here goes:
In file matplotlib/lib/matplotlib/mlab.py, the functions psd (power spectral
density) and specgram returns the real part of the fourier transform.
% grep -n Pxx.real mlab.py
390:return Pxx.real,freqs
470:Pxx = Pxx.real #Needed since helper
uname -a gives,
Linux David 3.2.2-1.fc16.i686 #1 SMP Thu Jan 26 03:38:31 UTC 2012 i686 i686
i386 GNU/Linux
On Mon, Feb 6, 2012 at 6:07 PM, Benjamin Root wrote:
>
>
> On Mon, Feb 6, 2012 at 11:59 AM, David Craig wrote:
>
>> I'm using a lenovo laptop with fedora 16. It has 2.9 GiB memory and 4
>>
On Mon, Feb 6, 2012 at 11:59 AM, David Craig wrote:
> I'm using a lenovo laptop with fedora 16. It has 2.9 GiB memory and 4
> intel core CPUs @ 2.3GHz each. Available disk space is 147.9GiB.
> numpy 1.6.0
> matplotlib 1.0.1
>
>
32-bit or 64-bit OS? Please use 'uname -a' to tell us, because you c
I'm using a lenovo laptop with fedora 16. It has 2.9 GiB memory and 4
intel core CPUs @ 2.3GHz each. Available disk space is 147.9GiB.
numpy 1.6.0
matplotlib 1.0.1
On 6 Feb 2012, at 10:29, Fabrice Silva wrote:
> On Sat, Feb 4, 2012 at 9:44 AM, Fabrice Silva mrs.fr> wrote:
>> Le vendre
On Sat, Feb 4, 2012 at 9:44 AM, Fabrice Silva wrote:
> Le vendredi 03 février 2012 à 17:39 +, David Craig a écrit :
> > sure how to get it to plot the outputs from specgram. I use
> > specgram as follows,
> > Pxx, freqs, bins, im = plt.specgram(..)
>
Le vendredi 03 février 2012 à 17:39 +, David Craig a écrit :
> sure how to get it to plot the outputs from specgram. I use
> specgram as follows,
> Pxx, freqs, bins, im = plt.specgram(..)
> what am I trying imshow??
plt.specgram computes the spectrogram and when calls imshow to display
t
Le vendredi 03 février 2012 à 12:11 +, David Craig a écrit :
> Hi, I am using matplotlib to produce some spectrograms for seismic
> data. I am looking at a 10 day period with a sample rate of 20sps. I
> would like to have my spectrogram to be composed of 10 minute windows
> with an overlap of 9
Hi, I am using matplotlib to produce some spectrograms for seismic data. I
am looking at a 10 day period with a sample rate of 20sps. I would like to
have my spectrogram to be composed of 10 minute windows with an overlap of
90%. However when I try and run my script I run out of memory. I can
produ
Hi, I am trying to produce a spectrogram for my data set and am having
an issue with the color map. My data is filtered between 0.02 and 1.0Hz,
but specgram() produces an image in the range 0 to 10Hz. Also the color
map is not set properly. I would like to have it so the colormap ranges
from th
I am using Matplotlib version 1.0.1 and I get errors if I try the following:
import matplotlib.pyplot as plt
import numpy as np
plt.specgram(np.zeros(50))
I have pasted the error output below, but hopefully it would reproduce
in other systems. I'm not sure if this is intended behavior and was
w
On 3/28/07, Niklas Saers <[EMAIL PROTECTED]> wrote:
> Hi guys,
> I'm trying to make a specgram() for some wave samples that I have read into
> 'data' using pyaudiolab's read_frames() (put into wavread())
>
> When I do
>
> from wavread import *
> from pylab import *
> from statistics import *
>
> da
Hi guys,
I'm trying to make a specgram() for some wave samples that I have
read into 'data' using pyaudiolab's read_frames() (put into wavread())
When I do
from wavread import *
from pylab import *
from statistics import *
data, datasize, samplerate, channels = wavread("myfile.wav")
specgram
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