matplotlib.pyplot.phase_spectrum() in Python

22 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. There are various plots which can be used in Pyplot are Line Plot, Contour, Histogram, Scatter, 3D Plot, etc.
The phase_spectrum() function in pyplot module of matplotlib library is used to plot the phase_spectrum. Generally, it compute the phase_spectrum of sequence and plotting is done.
Syntax: phase_spectrum(x, Fs=2, Fc=0, window=mlab.window_hanning, pad_to=None, sides=’default’, **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
Returns: This returns the following:
spectrum :This returns the angle spectrum in radians.
freqs :This returns the frequencies corresponding to the elements in spectrum.
line : This returns the line created by this function.
The resultant is (spectrum, freqs, line)
Below examples illustrate the matplotlib.pyplot.phase_spectrum() function in matplotlib.pyplot:
Example-1:
# Implementation of matplotlib functionimport matplotlib.pyplot as pltimport numpy as np   np.random.seed(10**5)   dt = 0.0001Fs = 1 / dt  geeks = np.array([24.40, 110.25, 20.05, 22.00, 61.90,                   7.80, 15.00, 22.80, 34.90, 57.30])  nse = np.random.randn(len(geeks))r = np.exp(-geeks / 0.05)   s = 0.1 * np.sin(2 * np.pi * geeks) + nse   # plot phase_spectrumplt.phase_spectrum(s, Fs = Fs)plt.title('matplotlib.pyplot.phase_spectrum() function Example',                                             fontweight ="bold")  plt.show()
Output:
Example-2:
# Implementation of matplotlib functionimport matplotlib.pyplot as pltimport numpy as np   np.random.seed(0)   dt = 0.01Fs = 1 / dtt = np.arange(0, 10, dt)nse = np.random.randn(len(t))r = np.exp(-t / 0.05)   cnse = np.convolve(nse, r)*dtcnse = cnse[:len(t)]s = 0.1 * np.sin(2 * np.pi * t) + cnse   # plot simple spectrumplt.subplot(2, 1, 1)plt.plot(t, s)plt.title('matplotlib.pyplot.phase_spectrum() function Example',                                              fontweight ="bold")  plt.subplot(2, 1, 2)plt.phase_spectrum(s, Fs = Fs)  plt.show()
Output:
Python-matplotlib
Python
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