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Matplotlib.pyplot.specgram() in Python

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  • Last Updated : 21 Apr, 2020

Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. Pyplot is a state-based interface to a Matplotlib module which provides a MATLAB-like interface.

matplotlib.pyplot.specgram() Function

The specgram() function in pyplot module of matplotlib library is used to plot a spectrogram.

Syntax: matplotlib.pyplot.specgram(x, NFFT=None, Fs=None, Fc=None, detrend=None, window=None, noverlap=None, cmap=None, xextent=None, pad_to=None, sides=None, scale_by_freq=None, mode=None, scale=None, vmin=None, vmax=None, *, data=None, **kwargs)

Parameters: This method accept the following parameters that are described below:

  • x: This parameter is a sequence of data.
  • Fs : This parameter is a scalar. Its default value is 2.
  • window: This parameter take a data segment as an argument and return the windowed version of the segment. Its default value is window_hanning()
  • sides: This parameter specifies which sides of the spectrum to return. This can have following values : ‘default’, ‘onesided’ and ‘twosided’.
  • pad_to : This parameter contains the integer value to which the data segment is padded.
  • Fc: This parameter is also contains the integer value to offsets the x extents of the plot to reflect the frequency range. Its default value is 0
  • NFFT : This parameter contains the number of data points used in each block for the FFT.
  • detrend : This parameter contains the function applied to each segment before fft-ing, designed to remove the mean or linear trend {‘none’, ‘mean’, ‘linear’}.
  • scale_by_freq : This parameter is allows for integration over the returned frequency values.
  • mode : This parameter is that what sort of spectrum to use {‘default’, ‘psd’, ‘magnitude’, ‘angle’, ‘phase’}.
  • noverlap : This parameter is the number of points of overlap between blocks.
  • scale : This parameter contains the scaling of the values in the spec {‘default’, ‘linear’, ‘dB’}.
  • Fc : This parameter is the center frequency of x.
  • camp: This parameter is a matplotlib.colors.Colormap instance.

Returns: This returns the following:

  • spectrum :This returns the angle spectrum in radians.
  • freqs :This returns the frequencies corresponding to the elements in spectrum.
  • t: This returns the times corresponding to midpoints of segments.
  • im: This returns the image created by imshow containing the spectrogram.

The resultant is (spectrum, freqs, t, im)

Below examples illustrate the matplotlib.pyplot.specgram() function in matplotlib.pyplot:

Example 1:




# Implementation of matplotlib function
import matplotlib.pyplot as plt 
import numpy as np 
  
    
dt = 0.005
t = np.arange(0.0, 20.0, dt) 
x = np.sin(np.pi * t) + 1.5 * np.cos(np.pi * 2*t) 
  
plt.specgram(x, Fs = 1)
plt.title('matplotlib.pyplot.specgram() Example\n'
          fontsize = 14, fontweight ='bold')
  
plt.show()

Output:

Example 2:




# Implementation of matplotlib function
import matplotlib.pyplot as plt 
import numpy as np 
  
  
np.random.seed(9360801
    
dt = 0.0005
t = np.arange(0.0, 20.0, dt) 
s1 = np.sin(4 * np.pi * 100 * t) 
s2 = 1.5 * np.sin(1.5 * np.pi * 400 * t) 
    
s2[t <= 10] = s2[12 <= t] = 0
    
nse = 0.2 * np.random.random(size = len(t)) 
    
x = s1 + s2 + nse   
NFFT = 512 
Fs = int(1.0 / dt)  
  
plt.specgram(x, Fs = Fs, cmap = plt.cm.bone) 
plt.title('matplotlib.pyplot.specgram() Example\n',
          fontsize = 14, fontweight ='bold')
  
plt.show()

Output:


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