angle_spectrum(self, x, Fs=None, Fc=None, window=None, pad_to=None, sides=None, *, data=None, **kwargs)
Compute the angle spectrum (wrapped phase spectrum) of x. Data is padded to a length of pad_to and the windowing function window is applied to the signal.
If given, the following parameters also accept a string s
, which is interpreted as data[s]
(unless this raises an exception):
x
Keyword arguments control the .Line2D
properties:
Properties: 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: scalar or None animated: bool antialiased or aa: bool clip_box: .Bbox
clip_on: bool clip_path: Patch or (Path, Transform) or None color or c: color dash_capstyle: .CapStyle
or {'butt', 'projecting', 'round'} dash_joinstyle: .JoinStyle
or {'miter', 'round', 'bevel'} dashes: sequence of floats (on/off ink in points) or (None, None) data: (2, N) array or two 1D arrays 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 string, ~.path.Path
or ~.markers.MarkerStyle
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) or list[bool] path_effects: .AbstractPathEffect
picker: float or callable[[Artist, Event], tuple[bool, dict]] pickradius: float rasterized: bool sketch_params: (scale: float, length: float, randomness: float) snap: bool or None solid_capstyle: .CapStyle
or {'butt', 'projecting', 'round'} solid_joinstyle: .JoinStyle
or {'miter', 'round', 'bevel'} transform: unknown url: str visible: bool xdata: 1D array ydata: 1D array zorder: float
Array or sequence containing the data.
The sampling frequency (samples per time unit). It is used to calculate the Fourier frequencies, freqs, in cycles per time unit.
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. 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.
Which sides of the spectrum to return. 'default' is one-sided for real data and two-sided for complex data. 'onesided' forces the return of a one-sided spectrum, while 'twosided' forces two-sided.
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).
The center frequency of x, 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.
The values for the angle spectrum in radians (real valued).
The frequencies corresponding to the elements in spectrum.
The line created by this function.
Plot the angle spectrum.
magnitude_spectrum
Plots the magnitudes of the corresponding frequencies.
phase_spectrum
Plots the unwrapped version of this function.
specgram
Can plot the angle spectrum of segments within the signal in a colormap.
The following pages refer to to this document either explicitly or contain code examples using this.
matplotlib.axes._axes.Axes.phase_spectrum
matplotlib.axes._axes.Axes.specgram
matplotlib.axes._axes.Axes.magnitude_spectrum
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