Parameters: 
 x, y : 1D arrays or sequences
Arrays or sequences 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 onesided for real data and both
for complex data. 'onesided' forces the return of a onesided
spectrum, while 'twosided' forces twosided.
 pad_to : int
The number of points to which the data segment is padded when
performing the FFT. This can be different from NFFT, which
specifies the number of data points used. 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 NFFT
 NFFT : int
The number of data points used in each block for the FFT.
A power 2 is most efficient. The default value is 256.
This should NOT be used to get zero padding, or the scaling of the
result will be incorrect. Use pad_to for this instead.
 detrend : {'default', 'constant', 'mean', 'linear', 'none'} or callable
The function applied to each segment before ffting,
designed to remove the mean or linear trend. Unlike in
MATLAB, where the detrend parameter is a vector, in
matplotlib is it a function. The mlab
module defines detrend_none() ,
detrend_mean() , and
detrend_linear() , but you can use
a custom function as well. You can also use a string to choose
one of the functions. 'default', 'constant', and 'mean' call
detrend_mean() . 'linear' calls
detrend_linear() . 'none' calls
detrend_none() .
 scale_by_freq : bool, optional
Specifies whether the resulting density values should be scaled
by the scaling frequency, which gives density in units of Hz^1.
This allows for integration over the returned frequency values.
The default is True for MATLAB compatibility.
 noverlap : int
The number of points of overlap between segments.
The default value is 0 (no overlap).
 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.
 return_line : bool
Whether to include the line object plotted in the returned values.
Default is False.

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 
bool 
clip_box 
Bbox 
clip_on 
bool 
clip_path 
[(Path , Transform )  Patch  None] 
color 
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 
{'default', 'steps', 'stepspre', 'stepsmid', 'stepspost'} 
figure 
Figure 
fillstyle 
{'full', 'left', 'right', 'bottom', 'top', 'none'} 
gid 
str 
in_layout 
bool 
label 
object 
linestyle 
{'', '', '.', ':', '', (offset, onoffseq), ...} 
linewidth 
float 
marker 
unknown 
markeredgecolor 
color 
markeredgewidth 
float 
markerfacecolor 
color 
markerfacecoloralt 
color 
markersize 
float 
markevery 
unknown 
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 
