def custom_line(self,
name: str,
data: np.ndarray,
offset: bool,
invert: bool = True):
"""
:param offset:
- True, for untriggered wave data:
- line will be shifted and triggered (by offset_viewport()).
- False, for triggered data and buffers:
- line is immune to offset_viewport().
:param invert:
- True, for wave (data and buffers):
- If wave data is inverted (edge_direction = -1),
data will be plotted inverted.
- False, for buffers and autocorrelated wave data:
- Data is plotted as-is.
"""
if self._renderer is None:
return
data = data / abs_max(data, 0.01) / 2
if invert:
data *= np.copysign(1, self._wave.amplification)
self._renderer.update_custom_line(name,
self._wave_idx,
self._stride,
data,
offset=offset)
def sign_times_peak(data: np.ndarray) -> np.ndarray:
"""
Computes peak = max(abs(data)).
Returns `peak` for positive parts of data, and `-peak` for negative parts,
and heavily amplifies parts of the wave near zero.
"""
data = data.copy()
peak = abs_max(data)
data *= SIGN_AMPLIFICATION / (peak + MIN_AMPLITUDE)
sign_data = np.tanh(data)
sign_data *= peak
return sign_data