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.

nilearn.plotting.view_markers¶

nilearn.plotting.view_markers(marker_coords, marker_color='auto', marker_size=5.0, marker_labels=None, title=None, title_fontsize=25)[source]¶

Insert a 3d plot of markers in a brain into an HTML page.

Parameters:

marker_coordsnumpy.ndarray of shape=(n_nodes, 3): The coordinates of the nodes in MNI space.
marker_colornumpy.ndarray of shape=(n_nodes,) or ‘auto’, default=’auto’: colors of the markers: list of strings, hex rgb or rgba strings, rgb triplets, or rgba triplets (see formats accepted by matplotlib <https://matplotlib.org/stable/users/explain/colors/colors.html>)
marker_sizefloat or array-like, default=5.0: Size of the markers showing the seeds in pixels.
marker_labelslist of str of shape=(n_nodes) or None, default=None: Labels for the markers: list of strings
titlestr or None, default=None: Title for the plot.
title_fontsizeint, default=25: Fontsize of the title.

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.