pyCGM2.Lib.plot.plot_spatioTemporal#

pyCGM2.Lib.plot.plot_spatioTemporal(DATA_PATH: str, analysis: Analysis, exportPdf: bool = False, OUT_PATH: str | None = None, outputName: str | None = None, show: bool = True, title: str | None = None, exportPng: bool = False, autoYlim: bool = False)#

Displays spatio-temporal parameters as horizontal histograms.

This function visualizes spatio-temporal parameters from a given analysis instance, showing them in a format of horizontal histograms. It allows for exportation in PDF or PNG formats and offers options for title modification and automatic Y-axis limit adjustment.

Parameters:
  • DATA_PATH (str) – Path to the data directory.

  • analysis (Analysis) – An Analysis instance containing spatio-temporal data.

  • exportPdf (bool) – If True, exports the plot as a PDF. Defaults to False.

  • OUT_PATH (Optional[str]) – Path for saving exported files. Defaults to None.

  • outputName (Optional[str]) – Name of the output file. Defaults to None.

  • show (bool) – If True, displays the plot using Matplotlib. Defaults to True.

  • title (Optional[str]) – Title for the plot panel. Defaults to None.

  • exportPng (bool) – If True, exports the plot as a PNG. Defaults to False.

  • autoYlim (bool) – If True, sets Y-axis limits automatically. Defaults to False.

Returns:
  • Union[matplotlib.figure.Figure, Tuple[matplotlib.figure.Figure, str]] – The Matplotlib figure object.

  • If exporting as PNG, returns a tuple of the figure object and the filename.

Examples

>>> fig = plot_spatioTemporal("/myDATA/", analysisInstance)

Note

The function is particularly useful for analyzing and visualizing spatio-temporal gait parameters in a concise and intuitive format.