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_coordsndarray, shape=(n_nodes, 3)

The coordinates of the nodes in MNI space.

marker_colorndarray, shape=(n_nodes,), optional

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_sizefloat or array-like, optional

Size of the markers showing the seeds in pixels. Default=5.0.

titlestr, optional

Title for the plot.

title_fontsizeint, optional

Fontsize of the title. Default=25.

Returns
ConnectomeViewplot 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

interactive view of statistical maps or surface atlases on the cortical surface.