devctrl.data.time.plot.plot_time_data

plot_time_data(data: ndarray[tuple[Any, ...], dtype[_ScalarT]] | TimeData, what: str | list[str], xkey: str = 't', columns: list[str] | None = None, fig=None, ax=None, xlabel: str | bool = True, ylabel: str | bool = True, title: str | bool | None = None, mode=None, xlog: bool = False, normalize: bool = False, subplot_kw: dict | None = None, transforms: list[Callable[[ndarray[tuple[Any, ...], dtype[_ScalarT]], list[str]], tuple[ndarray[tuple[Any, ...], dtype[_ScalarT]], list[str]]]] | None = None, ts: list[float] | tuple[float, float] | None = None, plot_kws: dict | list[dict] | None = None, **plot_kw) → tuple[Figure, Axes]

Plotter for generic time data.

Parameters:

• data – Either a numpy array or a TimeData object

• xkey – Which column to plot onto the x-axis

• columns – Arry of columns into data. Only required when data is a numpy array

• fig – Optional matplotlib figure

• ax – Optional matplotlib axes

• xlabel – Optional label. If True, a value is automatically from Data.get_column_tex_label_with_unit_and_scale() using the xkey

• ylabel – Optional label. If True, a value is automatically from Data.get_column_tex_label_with_unit_and_scale() using the column to plot (what)

• title – Optional plot title

• mode – Optional data mode

• xlog – Whether to set the x-axis to log-scale

• normalize – Whether to normalize the data

• subplot_kw – Keywords to pass to plt.subplots() if no fig or ax is given

• transforms – List of transforms to pass to get_time_data if data is a TimeData object

• ts – Time values to pass to get_time_data if data is a TimeData object

• what – Which column(s) to plot

Raises:

ValueError –

Returns:

fig, ax