ibllib.plots.misc

Functions

color_cycle	Gets the matplotlib color-cycle as RGB numpy array of floats between 0 and 1 :return:
spectrum	Display spectral density of a signal along a given dimension spectrum(w, fs)
squares	Matplotlib display of rising and falling fronts in a square-wave pattern
vertical_lines	From an x vector, draw separate vertical lines at each x location ranging from ymin to ymax
wiggle	Matplotlib display of wiggle traces

Classes

Density
Traces

wiggle(w, fs=1, gain=0.71, color='k', ax=None, fill=True, linewidth=0.5, t0=0, clip=2, sf=None, **kwargs)

Matplotlib display of wiggle traces

Parameters:

• w – 2D array (numpy array dimension nsamples, ntraces)

• fs – sampling frequency

• gain – display gain ; Note that if sf is given, gain is not used

• color – (‘k’) color of traces

• ax – (None) matplotlib axes object

• fill – (True) fill variable area above 0

• t0 –

  0. timestamp of the first sample

• sf – scaling factor ; if None, uses the gain / SQRT of waveform RMS

Returns:

None

class Density(w, fs=30000, cmap='Greys_r', ax=None, taxis=0, title=None, gain=None, t0=0, unit='ms', **kwargs)

Bases: object

on_key_press(event)

class Traces(w, fs=1, gain=0.71, color='k', ax=None, linewidth=0.5, t0=0, **kwargs)

Bases: object

on_key_press(event)

squares(tscale, polarity, ax=None, yrange=[-1, 1], **kwargs)

Matplotlib display of rising and falling fronts in a square-wave pattern

Parameters:

• tscale – time of indices of fronts

• polarity – polarity of front (1: rising, -1:falling)

• ax – matplotlib axes object

Returns:

None

vertical_lines(x, ymin=0, ymax=1, ax=None, **kwargs)

From an x vector, draw separate vertical lines at each x location ranging from ymin to ymax

Parameters:

• x – numpy array vector of x values where to display lines

• ymin – lower end of the lines (scalar)

• ymax – higher end of the lines (scalar)

• ax – (optional) matplotlib axis instance

Returns:

None

spectrum(w, fs, smooth=None, unwrap=True, axis=0, **kwargs)

Display spectral density of a signal along a given dimension spectrum(w, fs)

Parameters:

• w – signal

• fs – sampling frequency (Hz)

• smooth – (None) frequency samples to smooth over

• unwrap – (True) unwraps the phase specrum

• axis – axis on which to compute the FFT

• kwargs – plot arguments to be passed to matplotlib

Returns:

matplotlib axes

color_cycle(ind=None)

Gets the matplotlib color-cycle as RGB numpy array of floats between 0 and 1 :return: