Note
This page is a reference documentation. It only explains the function signature, and not how to use it. Please refer to the user guide for the big picture.
8.10.29. nilearn.plotting.view_markers¶
nilearn.plotting.
view_markers
(marker_coords, marker_color=None, marker_size=5.0, title=None, title_fontsize=25)¶Insert a 3d plot of markers in a brain into an HTML page.
Parameters: marker_coords : ndarray, shape=(n_nodes, 3)
the coordinates of the nodes in MNI space.
marker_color : ndarray, shape=(n_nodes,)
colors of the markers: list of strings, hex rgb or rgba strings, rgb triplets, or rgba triplets (i.e. formats accepted by matplotlib, see https://matplotlib.org/users/colors.html#specifying-colors)
marker_size : float or array-like, optional (default=3.)
Size of the markers showing the seeds in pixels.
title : str, optional (default=None)
title for the plot
title_fontsize : int, optional (default=25)
fontsize of the title
Returns: ConnectomeView : plot of the markers.
It can be saved as an html page or rendered (transparently) by the Jupyter notebook. Useful methods are :
- ‘resize’ to resize the plot displayed in a Jupyter notebook
- ‘save_as_html’ to save the plot to a file
- ‘open_in_browser’ to save the plot and open it in a web browser.
See also
nilearn.plotting.plot_connectome
- projected views of a connectome in a glass brain.
nilearn.plotting.view_connectome
- interactive plot of a connectome.
nilearn.plotting.view_surf
,nilearn.plotting.view_img_on_surf