msmexplorer.plot_trace¶

msmexplorer.plot_trace(data, label=None, window=1, ax=None, side_ax=None, color='beryl', alpha=0.8, legend=True, xlabel=None, ylabel=None, labelsize=14, rolling_kwargs=None)¶

Plot trace of time-series data.

Parameters:

data : array-like (nsamples, ) The samples. This should be a 1-D time-series array. label : str, optional Label for time-series. window : int, optional (default: 1) Size of the moving window. This is the number of observations used for calculating the average. ax : matplotlib axis, optional main matplotlib figure axis for trace. side_ax : matplotlib axis, optional side matplotlib figure axis for histogram. color : str, optional (default: ‘beryl’) Style color of the trace. alpha : float, optional (default: 0.5) Opacity of shaded area. legend : bool, optional (default: True) Whether to display legend in plot. xlabel : str, optional x-axis label ylabel : str, optional y-axis label labelsize : int, optional (default: 14) Font side for axes labels. rolling_kwargs : dict, optional Keyword arguments for pandas.DataFrame.rolling.

Returns:

ax : matplotlib axis main matplotlib figure axis for trace. side_ax : matplotlib axis side matplotlib figure axis for histogram.