Matplotlib.axes.Axes.angle_spectrum() in Python
Last Updated :
13 Apr, 2020
Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. The Axes Class contains most of the figure elements: Axis, Tick, Line2D, Text, Polygon, etc., and sets the coordinate system. And the instances of Axes supports callbacks through a callbacks attribute.
matplotlib.axes.Axes.angle_spectrum() Function
The Axes.angle_spectrum() function in axes module of matplotlib library is used to plot the angle spectrum.
Syntax: Axes.angle_spectrum(self, x, Fs=None, Fc=None, window=None, pad_to=None, sides=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
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.axes.Axes.xcorr() function in matplotlib.axes:
Example-1:
import matplotlib.pyplot as plt
import numpy as np
np.random.seed( 10 * * 5 )
dt = 0.0001
Fs = 1 / dt
geeks = np.array([ 22.00 , 61.90 ,
7.80 , 24.40 ,
110.25 , 20.05 ,
15.00 , 22.80 ,
34.90 , 57.30 ])
nse = np.random.randn( len (geeks))
r = np.exp( - geeks / 0.05 )
s = 0.5 * np.sin( 1.5 * np.pi * geeks) + nse
fig, ax = plt.subplots()
ax.angle_spectrum(s, Fs = Fs, color = "green" )
ax.set_title( 'matplotlib.axes.Axes.angle_spectrum() Example' )
plt.show()
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Output:
Example-2:
import matplotlib.pyplot as plt
import numpy as np
np.random.seed( 0 )
dt = 0.01
Fs = 1 / dt
t = np.arange( 0 , 10 , dt)
res = np.random.randn( len (t))
r = np.exp( - t / 0.05 )
cres = np.convolve(res, r) * dt
cres = cres[: len (t)]
s = 0.5 * np.sin( 1.5 * np.pi * t) + cres
fig, (ax1, ax2) = plt.subplots( 2 , 1 )
ax1.plot(t, s, color = "green" )
ax2.angle_spectrum(s, Fs = Fs, color = "green" )
ax1.set_title( 'matplotlib.axes.Axes.angle_spectrum() Example' )
plt.show()
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Output:
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