mne_connectivity.viz.plot_connectivity_circle(con, node_names, indices=None, n_lines=None, node_angles=None, node_width=None, node_colors=None, facecolor='black', textcolor='white', node_edgecolor='black', linewidth=1.5, colormap='hot', vmin=None, vmax=None, colorbar=True, title=None, colorbar_size=0.2, colorbar_pos=(- 0.3, 0.1), fontsize_title=12, fontsize_names=8, fontsize_colorbar=8, padding=6.0, fig=None, subplot=111, interactive=True, node_linewidth=2.0, show=True)[source]#

Visualize connectivity as a circular graph.


con : array | Connectivity

Connectivity scores. Can be a square matrix, or a 1D array. If a 1D array is provided, “indices” has to be used to define the connection indices.

node_names : list of str

Node names. The order corresponds to the order in con.

indices : tuple of array | None

Two arrays with indices of connections for which the connections strengths are defined in con. Only needed if con is a 1D array.

n_lines : int | None

If not None, only the n_lines strongest connections (strength=abs(con)) are drawn.

node_angles : array, shape (n_node_names,) | None

Array with node positions in degrees. If None, the nodes are equally spaced on the circle. See mne.viz.circular_layout.

node_width : float | None

Width of each node in degrees. If None, the minimum angle between any two nodes is used as the width.

node_colors : list of tuple | list of str

List with the color to use for each node. If fewer colors than nodes are provided, the colors will be repeated. Any color supported by matplotlib can be used, e.g., RGBA tuples, named colors.

facecolor : str

Color to use for background. See matplotlib.colors.

textcolor : str

Color to use for text. See matplotlib.colors.

node_edgecolor : str

Color to use for lines around nodes. See matplotlib.colors.

linewidth : float

Line width to use for connections.

colormap : str | instance of matplotlib.colors.LinearSegmentedColormap

Colormap to use for coloring the connections.

vmin : float | None

Minimum value for colormap. If None, it is determined automatically.

vmax : float | None

Maximum value for colormap. If None, it is determined automatically.

colorbar : bool

Display a colorbar or not.

title : str

The figure title.

colorbar_size : float

Size of the colorbar.

colorbar_pos : tuple, shape (2,)

Position of the colorbar.

fontsize_title : int

Font size to use for title.

fontsize_names : int

Font size to use for node names.

fontsize_colorbar : int

Font size to use for colorbar.

padding : float

Space to add around figure to accommodate long labels.

fig : None | instance of matplotlib.figure.Figure

The figure to use. If None, a new figure with the specified background color will be created.

subplot : int | tuple, shape (3,)

Location of the subplot when creating figures with multiple plots. E.g. 121 or (1, 2, 1) for 1 row, 2 columns, plot 1. See matplotlib.pyplot.subplot.

interactive : bool

When enabled, left-click on a node to show only connections to that node. Right-click shows all connections.

node_linewidth : float

Line with for nodes.

show : bool

Show figure if True.


fig : instance of matplotlib.figure.Figure

The figure handle.

axes : instance of matplotlib.projections.polar.PolarAxes

The subplot handle.


This code is based on a circle graph example by Nicolas P. Rougier

By default, matplotlib.pyplot.savefig() does not take facecolor into account when saving, even if set when a figure is generated. This can be addressed via, e.g.:

>>> fig.savefig(fname_fig, facecolor='black') 

If facecolor is not set via matplotlib.pyplot.savefig(), the figure labels, title, and legend may be cut off in the output figure.

Examples using mne_connectivity.viz.plot_connectivity_circle#