def plotPRITransformVal(ax: axes,
bins: np.array,
vals: np.array,
title: str = None,
plot_ylabel: bool = False) -> None:
ax.plot(bins, vals, linewidth=2)
ax.set_title(title, fontsize=10)
ax.set_xlabel('pri[us]', fontsize=8, loc='right')
if plot_ylabel:
ax.set_ylabel('interval values', fontsize=10)
def plotTTPMat(ax: axes,
toa: np.array,
ttp: np.array,
title: str = None,
plot_ylabel: bool = False) -> None:
ax.scatter(toa, ttp, marker='o', c=ttp, alpha=0.75)
ax.set_ylim(PRI_DETECTED_RANGE[0], PRI_DETECTED_RANGE[1])
ax.xaxis.get_major_formatter().set_powerlimits((0, 1))
ax.set_title(title, fontsize=10)
ax.set_xlabel('toa[us]', fontsize=8, loc='right')
if plot_ylabel:
ax.set_ylabel('pri[us]', fontsize=9)
def plot_histogram(data: List[np.float64], bins: int, axes: matplotlib.axes):
axes.hist(x=data, bins=bins)
axes.set_title('KDE plot')
axes.set_xlabel('x')
axes.set_ylabel('f')
def plot_kdeplot(data: List[np.float64], axes: matplotlib.axes):
sns.kdeplot(data=data, kernel='gau', bw='scott', ax=axes)
axes.set_title('KDE plot')
axes.set_xlabel('x')
axes.set_ylabel('f')