matplotlib.pyplot.phase_spectrum #

matplotlib.pyplot.phase_spectrum(x,*,Fs=None,Fc=None,window=None,pad_to=None,sides=None,data=None,**kwargs)[source]#

Plot the phase spectrum.

Compute the phase spectrum (unwrapped angle spectrum) ofx.Data is padded to a length ofpad_to and the windowing functionwindow is applied to the signal.

Parameters:

x1-D array or sequence: Array or sequence containing the data
Fsfloat, default: 2: The sampling frequency (samples per time unit). It is used to calculatethe Fourier frequencies,freqs, in cycles per time unit.
windowcallable or ndarray, default:window_hanning: A function or a vector of lengthNFFT. To create window vectors seewindow_hanning,window_none,numpy.blackman,numpy.hamming,numpy.bartlett,scipy.signal,scipy.signal.get_window, etc. If afunction is passed as the argument, it must take a data segment as anargument and return the windowed version of the segment.
sides{'default', 'onesided', 'twosided'}, optional: Which sides of the spectrum to return. 'default' is one-sided for realdata and two-sided for complex data. 'onesided' forces the return of aone-sided spectrum, while 'twosided' forces two-sided.
pad_toint, optional: The number of points to which the data segment is padded when performingthe FFT. While not increasing the actual resolution of the spectrum (theminimum distance between resolvable peaks), this can give more points inthe plot, allowing for more detail. This corresponds to then parameterin the call tofft. The default is None, which setspad_toequal to the length of the input signal (i.e. no padding).
Fcint, default: 0: The center frequency ofx, which offsets the x extents of theplot to reflect the frequency range used when a signal is acquiredand then filtered and downsampled to baseband.

Returns:

spectrum1-D array: The values for the phase spectrum in radians (real valued).
freqs1-D array: The frequencies corresponding to the elements inspectrum.
lineLine2D: The line created by this function.

Other Parameters:

dataindexable object, optional

If given, the following parameters also accept a strings, which isinterpreted asdata[s] ifs is a key indata:

**kwargs

Keyword arguments control theLine2D 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 and two offsets from the bottom left corner of the image
`alpha`	float or None
`animated`	bool
`antialiased` or`aa`	bool
`clip_box`	`BboxBase` or None
`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` or`SubFigure`
`fillstyle`	{'full', 'left', 'right', 'bottom', 'top', 'none'}
`gapcolor`	color or None
`gid`	str
`in_layout`	bool
`label`	object
`linestyle` or`ls`	{'-', '--', '-.', ':', '', (offset, on-off-seq), ...}
`linewidth` or`lw`	float
`marker`	marker style string,`Path` or`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]
`mouseover`	bool
`path_effects`	list of`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

Movatterモバイル変換

matplotlib.pyplot.phase_spectrum#

matplotlib.pyplot.phase_spectrum #