ovrlpy.plot_region_of_interest
==============================

.. py:function:: ovrlpy.plot_region_of_interest(x, y, coordinate_df, visualizer, integrity_map, signal_map, window_size = 30, signal_plot_threshold = 5.0, rasterized = True, scalebar = SCALEBAR_PARAMS)

   Plot a comprehensive overview of a zoomed-in region of interest.

   :param x: x coordinate of the region of interest
   :type x: float
   :param y: y coordinate of the region of interest
   :type y: float
   :param coordinate_df: DataFrame of gene-annotated molecule coordinates
   :type coordinate_df: pandas.DataFrame
   :param visualizer: Visualizer object containing the fitted model
   :type visualizer: Visualizer
   :param integrity_map: integrity map of the tissue
   :type integrity_map: numpy.ndarray
   :param signal_map: Signal map of the tissue
   :type signal_map: numpy.ndarray
   :param window_size: Size of the window to display. Defaults to 30.
   :type window_size: int, optional
   :param signal_plot_threshold: Threshold for the signal plot. Defaults to 5.
   :type signal_plot_threshold: float, optional
   :param rasterized: If True all plots will be rasterized. Defaults to True.
   :type rasterized: bool, optional
   :param scalebar: If `None` no scalebar will be plotted. Otherwise a dictionary with
                    additional kwargs for ``matplotlib_scalebar.scalebar.ScaleBar``.
                    By default :py:attr:`ovrlpy.SCALEBAR_PARAMS`
   :type scalebar: dict[str, typing.Any] | None