Source code for piel.visual.plot.signals.time.basic
from typing import Any
from piel.types import TimeSignalData, Unit
import numpy as np
import matplotlib.pyplot as plt
from piel.visual.plot.position import create_axes_per_figure
from piel.visual.plot.core import save
import logging
logger = logging.getLogger(__name__)
[docs]
def plot_time_signal_data(
signal: TimeSignalData,
fig: Any = None,
axs: Any = None,
subplots_kwargs: dict = None,
xlabel: str | Unit = None,
ylabel: str | Unit = None,
title: str | Unit = None,
**kwargs,
):
"""
Plots a single time signal on a figure.
Args:
signal (TimeSignalData): The time signal to plot.
fig (matplotlib.figure.Figure, optional): Existing figure to plot on. If None, a new figure is created.
axs (list[matplotlib.axes.Axes, optional]): Existing list of axes to plot on. If None, new axes are created. Plots on [0] by default.
subplots_kwargs (dict, optional): Keyword arguments to pass to create_axes_per_figure.
xlabel (str | Unit, optional): Label for the x-axis. If a Unit is provided, applies unit correction.
ylabel (str | Unit, optional): Label for the y-axis. If a Unit is provided, applies unit correction.
title (str | Unit, optional): Title for the plot.
**kwargs: Additional keyword arguments to pass to the save function.
Returns:
tuple: A tuple containing the figure and axes objects.
"""
if (len(signal.time_s) == 0) or (signal.time_s is None):
raise ValueError("The signal's time_s array is None.")
if xlabel is None:
xlabel = signal.time_s_unit.label
x_correction = signal.time_s_unit.base
elif isinstance(xlabel, str):
pass
elif isinstance(xlabel, Unit):
x_correction = xlabel.base
logger.warning(
f"Data correction of 1/{x_correction} from unit definition {xlabel} will be applied on x-axis"
)
xlabel = xlabel.label
if ylabel is None:
ylabel = signal.data_unit.label
y_correction = signal.data_unit.base
elif isinstance(ylabel, str):
pass
elif isinstance(ylabel, Unit):
y_correction = ylabel.base
logger.warning(
f"Data correction of 1/{y_correction} from unit definition {ylabel} will be applied on y-axis."
)
ylabel = ylabel.label
if subplots_kwargs is None:
subplots_kwargs = {}
if (fig is None) or (axs is None):
fig, axs = create_axes_per_figure(rows=1, columns=1, **subplots_kwargs)
elif fig is None or axs is None:
raise ValueError("Both fig and ax should be provided together or left as None.")
if title is None:
pass
else:
fig.suptitle(title)
ax = axs[0]
time = np.array(signal.time_s) / x_correction
data = np.array(signal.data) / y_correction
ax.plot(
time,
data,
label=signal.data_name,
color=plt.rcParams["axes.prop_cycle"].by_key()["color"][0],
)
ax.set_xlabel(xlabel)
ax.set_ylabel(ylabel)
ax.legend()
save(fig, **kwargs)
return fig, ax