rdtools.plotting.degradation_timeseries_plot¶
- rdtools.plotting.degradation_timeseries_plot(yoy_info, rolling_days=365, include_ci=True, fig=None, plot_color=None, ci_color=None, **kwargs)¶
Plot resampled time series of degradation trend with time
- Parameters
yoy_info (dict) --
a dictionary with keys:
YoY_values - pandas series of right-labeled year on year slopes
rolling_days (int, default 365) -- Number of days for rolling window. Note that the window must contain at least 50% of datapoints to be included in rolling plot.
include_ci (bool, default True) -- calculate and plot 2-sigma confidence intervals along with rolling median
fig (matplotlib, optional) -- fig object to add new plot to (first set of axes only)
plot_color (str, optional) -- color of the timeseries trendline
ci_color (str, optional) -- color of the confidence interval 'fuzz'
kwargs -- Extra parameters passed to matplotlib.pyplot.axis.plot()
Note
It should be noted that
yoy_infois an output fromrdtools.degradation.degradation_year_on_year().- Return type