# Matplotlib.axes.Axes.magnitude_spectrum() in Python

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.magnitude_spectrum() Function

The Axes.magnitude_spectrum() function in axes module of matplotlib library is used to plot the magnitude spectrum.
Syntax: Axes.magnitude_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.magnitude_spectrum() function in matplotlib.axes: Example 1:
 `# Implementation of matplotlib function ``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 ``  ` `# plot magnitude_spectrum ``fig, ax ``=` `plt.subplots() ``ax.magnitude_spectrum(s, Fs ``=` `Fs,  ``                      ``color ``=``"green"``) `` ` `ax.set_title('matplotlib.axes.Axes.magnitude_spectrum()\ ``Example') `` ` `plt.show() `

Output: Example 2:
 `# Implementation of matplotlib 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) ``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 ``  ` `# plot simple spectrum ``fig, (ax1, ax2) ``=` `plt.subplots(``2``, ``1``) ``ax1.plot(t, s, color ``=``"green"``) ``  ` `# plot magnitude_spectrum ``ax2.magnitude_spectrum(s, Fs ``=` `Fs,  ``                       ``color ``=``"green"``) ``  ` `ax1.set_title('matplotlib.axes.Axes.magnitude_spectrum()\ ``Example') `` ` `plt.show() `

Output:

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