Travis-CI:

# matplotlib.axes.Axes.phase_spectrum¶

`Axes.``phase_spectrum`(x, Fs=None, Fc=None, window=None, pad_to=None, sides=None, **kwargs)

Plot the phase spectrum.

Call signature:

```phase_spectrum(x, Fs=2, Fc=0,  window=mlab.window_hanning,
```

Compute the phase spectrum (unwrapped angle 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.

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).

Fc : integer

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.

**kwargs :

Keyword arguments control the `Line2D` properties:

Property Description
`agg_filter` unknown
`alpha` float (0.0 transparent through 1.0 opaque)
`animated` [True | False]
`antialiased` or aa [True | False]
`axes` an `Axes` instance
`clip_box` a `matplotlib.transforms.Bbox` instance
`clip_on` [True | False]
`clip_path` [ (`Path`, `Transform`) | `Patch` | None ]
`color` or c any matplotlib color
`contains` a callable function
`dash_capstyle` [‘butt’ | ‘round’ | ‘projecting’]
`dash_joinstyle` [‘miter’ | ‘round’ | ‘bevel’]
`dashes` sequence of on/off ink in points
`drawstyle` [‘default’ | ‘steps’ | ‘steps-pre’ | ‘steps-mid’ | ‘steps-post’]
`figure` a `matplotlib.figure.Figure` instance
`fillstyle` [‘full’ | ‘left’ | ‘right’ | ‘bottom’ | ‘top’ | ‘none’]
`gid` an id string
`label` string or anything printable with ‘%s’ conversion.
`linestyle` or ls [‘solid’ | ‘dashed’, ‘dashdot’, ‘dotted’ | (offset, on-off-dash-seq) | `'-'` | `'--'` | `'-.'` | `':'` | `'None'` | `' '` | `''`]
`linewidth` or lw float value in points
`marker` `A valid marker style`
`markeredgecolor` or mec any matplotlib color
`markeredgewidth` or mew float value in points
`markerfacecolor` or mfc any matplotlib color
`markerfacecoloralt` or mfcalt any matplotlib color
`markersize` or ms float
`markevery` [None | int | length-2 tuple of int | slice | list/array of int | float | length-2 tuple of float]
`path_effects` unknown
`picker` float distance in points or callable pick function `fn(artist, event)`
`pickradius` float distance in points
`rasterized` [True | False | None]
`sketch_params` unknown
`snap` unknown
`solid_capstyle` [‘butt’ | ‘round’ | ‘projecting’]
`solid_joinstyle` [‘miter’ | ‘round’ | ‘bevel’]
`transform` a `matplotlib.transforms.Transform` instance
`url` a url string
`visible` [True | False]
`xdata` 1D array
`ydata` 1D array
`zorder` any number
Returns:

spectrum : 1-D array

The values for the phase spectrum in radians (real valued)

freqs : 1-D array

The frequencies corresponding to the elements in spectrum

line : a `Line2D` instance

The line created by this function

`magnitude_spectrum()`
`magnitude_spectrum()` plots the magnitudes of the corresponding frequencies.
`angle_spectrum()`
`angle_spectrum()` plots the wrapped version of this function.
`specgram()`
`specgram()` can plot the phase spectrum of segments within the signal in a colormap.