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_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, default=5.0
Size of the markers showing the seeds in pixels.
- marker_labelslist of str, shape=(n_nodes), optional
Labels for the markers: list of strings
- titlestr, optional
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.
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.