navis.interfaces.neuron.network.PointNetwork.plot_traces

PointNetwork.plot_traces(bin_size=100, subset=None, rolling_window=None, group=False, stimuli=True, ax=None, backend='auto', **kwargs)

Plot mean firing rate.

Parameters:

• bin_size (int) – Size [ms] of the bins over which to average spike frequency.

• subset (list-like) – Subset of IDs to plot. You can also use this to determine the order of appearance.

• rolling_window (int) – Average firing rates over a given rolling window.

• group (bool | array) – Set to True to group traces by label, showing mean firing rate and standard error as envelope. Pass an array of labels for each neuron to group by arbitrary labels.

• ax (matplotlib axis | plotly figure, optional) – Axis/figure to plot onto.

• stimuli (bool) – Whether to plot stimuli.

• backend ("auto" | "plotly" | "matplotlib") – Which backend to use. If “auto” will use plotly in Jupyter environments and matplotlib elsewhere.