/Matplotlib 3.1

# matplotlib.axes.Axes.magnitude_spectrum

`Axes.magnitude_spectrum(self, x, Fs=None, Fc=None, window=None, pad_to=None, sides=None, scale=None, *, data=None, **kwargs)` [source]

Plot the magnitude spectrum.

Compute the magnitude spectrum of x. Data is padded to a length of pad_to and the windowing function window is applied to the signal.

Parameters:
`x : 1-D array or sequence`

Array or sequence containing the data.

`Fs : scalar`

The sampling frequency (samples per time unit). It is used to calculate the Fourier frequencies, freqs, in cycles per time unit. The default value is 2.

`window : callable or ndarray`

A function or a vector of length NFFT. To create window vectors see `window_hanning`, `window_none`, `numpy.blackman`, `numpy.hamming`, `numpy.bartlett`, `scipy.signal`, `scipy.signal.get_window`, etc. The default is `window_hanning`. If a function is passed as the argument, it must take a data segment as an argument and return the windowed version of the segment.

`sides : {'default', 'onesided', 'twosided'}`

Specifies which sides of the spectrum to return. Default gives the default behavior, which returns one-sided for real data and both for complex data. 'onesided' forces the return of a one-sided spectrum, while 'twosided' forces two-sided.

`pad_to : int`

The number of points to which the data segment is padded when performing the FFT. While not increasing the actual resolution of the spectrum (the minimum distance between resolvable peaks), this can give more points in the plot, allowing for more detail. This corresponds to the n parameter in the call to fft(). The default is None, which sets pad_to equal to the length of the input signal (i.e. no padding).

`scale : {'default', 'linear', 'dB'}`

The scaling of the values in the spec. 'linear' is no scaling. 'dB' returns the values in dB scale, i.e., the dB amplitude (20 * log10). 'default' is 'linear'.

`Fc : int`

The center frequency of x (defaults to 0), which offsets the x extents of the plot to reflect the frequency range used when a signal is acquired and then filtered and downsampled to baseband.

Returns:
`spectrum : 1-D array`

The values for the magnitude spectrum before scaling (real valued).

`freqs : 1-D array`

The frequencies corresponding to the elements in spectrum.

`line : a Line2D instance`

The line created by this function.

Other Parameters:
**kwargs

Keyword arguments control the `Line2D` properties:

Property Description
`agg_filter` a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array
`alpha` float
`animated` bool
`antialiased` or aa bool
`clip_box` `Bbox`
`clip_on` bool
`clip_path` [(`Path`, `Transform`) | `Patch` | None]
`color` or c color
`contains` callable
`dash_capstyle` {'butt', 'round', 'projecting'}
`dash_joinstyle` {'miter', 'round', 'bevel'}
`dashes` sequence of floats (on/off ink in points) or (None, None)
`drawstyle` or ds {'default', 'steps', 'steps-pre', 'steps-mid', 'steps-post'}, default: 'default'
`figure` `Figure`
`fillstyle` {'full', 'left', 'right', 'bottom', 'top', 'none'}
`gid` str
`in_layout` bool
`label` object
`linestyle` or ls {'-', '--', '-.', ':', '', (offset, on-off-seq), ...}
`linewidth` or lw float
`marker` marker style
`markeredgecolor` or mec color
`markeredgewidth` or mew float
`markerfacecolor` or mfc color
`markerfacecoloralt` or mfcalt color
`markersize` or ms float
`markevery` None or int or (int, int) or slice or List[int] or float or (float, float)
`path_effects` `AbstractPathEffect`
`picker` float or callable[[Artist, Event], Tuple[bool, dict]]
`pickradius` float
`rasterized` bool or None
`sketch_params` (scale: float, length: float, randomness: float)
`snap` bool or None
`solid_capstyle` {'butt', 'round', 'projecting'}
`solid_joinstyle` {'miter', 'round', 'bevel'}
`transform` `matplotlib.transforms.Transform`
`url` str
`visible` bool
`xdata` 1D array
`ydata` 1D array
`zorder` float

`psd()`
`psd()` plots the power spectral density.`.
`angle_spectrum()`
`angle_spectrum()` plots the angles of the corresponding frequencies.
`phase_spectrum()`
`phase_spectrum()` plots the phase (unwrapped angle) of the corresponding frequencies.
`specgram()`
`specgram()` can plot the magnitude spectrum of segments within the signal in a colormap.

#### Notes

Note

In addition to the above described arguments, this function can take a data keyword argument. If such a data argument is given, the following arguments are replaced by data[<arg>]:

• All arguments with the following names: 'x'.

Objects passed as data must support item access (`data[<arg>]`) and membership test (`<arg> in data`).