| 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).
- 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 angle 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.
|
|---|
| 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', 'steps-pre', 'steps-mid', 'steps-post'} |
figure |
Figure |
fillstyle |
{'full', 'left', 'right', 'bottom', 'top', 'none'} |
gid |
str |
in_layout |
bool |
label |
object |
linestyle |
{'-', '--', '-.', ':', '', (offset, on-off-seq), ...} |
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 |
|
|---|
