Python中的 matplotlib.pyplot.angle_spectrum()

Matplotlib是Python中的一个库，它是 NumPy 库的数值数学扩展。 Pyplot是Matplotlib模块的基于状态的接口，它提供了一个类似 MATLAB 的接口。

matplotlib.pyplot.acorr()函数：

matplotlib 库的 pyplot 模块中的angle_spectrum()函数用于绘制角度谱。通常，它计算序列的角谱并绘制。

Syntax: angle_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)

下面的示例说明了 matplotlib.pyplot 中的 matplotlib.pyplot.angle_spectrum()函数：

示例 #1：

# Implementation of matplotlib.pyplot.angle_spectrum()
# function
  
import matplotlib.pyplot as plt
import numpy as np
  
np.random.seed(10**5)
  
dt = 0.0001
Fs = 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 angle_spectrum
plt.angle_spectrum(s, Fs = Fs)
  
# Display the simple spectrum and 
# angle_spectrum plot
plt.show()

输出：

示例 #2：

# Implementation of matplotlib.pyplot.angle_spectrum()
# function
  
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)
nse = np.random.randn(len(t))
r = np.exp(-t / 0.05)
  
cnse = np.convolve(nse, r)*dt
cnse = cnse[:len(t)]
s = 0.1 * np.sin(2 * np.pi * t) + cnse
  
# plot simple spectrum
plt.subplot(2, 1, 1)
plt.plot(t, s)
  
# plot angle_spectrum
plt.subplot(2, 1, 2)
plt.angle_spectrum(s, Fs = Fs)
  
# Display the simple spectrum and 
# angle_spectrum plot
plt.show()

输出：