rdtools.plotting.degradation_summary_plots
- rdtools.plotting.degradation_summary_plots(yoy_rd, yoy_ci, yoy_info, normalized_yield, hist_xmin=None, hist_xmax=None, bins=None, scatter_ymin=None, scatter_ymax=None, plot_color=None, summary_title=None, scatter_alpha=0.5, detailed=False)
Create plots (scatter plot and histogram) that summarize degradation analysis results.
- Parameters:
yoy_rd (float) -- rate of relative performance change in %/yr
yoy_ci (float) -- one-sigma confidence interval of degradation rate estimate
yoy_info (dict) --
a dictionary with keys:
YoY_values - pandas series of right-labeled year on year slopes
renormalizing_factor - float value used to recenter data
exceedance_level - the degradation rate that was outperformed with a probability given by the
exceedance_probparameter in thedegradation.degradation_year_on_year()
normalized_yield (pandas.Series) -- PV yield data that is normalized, filtered and aggregated
hist_xmin (float, optional) -- lower limit of x-axis for the histogram
hist_xmax (float, optional) -- upper limit of x-axis for the histogram
bins (int, optional) -- Number of bins in the histogram distribution. If omitted,
len(yoy_values) // 40will be usedscatter_ymin (float, optional) -- lower limit of y-axis for the scatter plot
scatter_ymax (float, optional) -- upper limit of y-axis for the scatter plot
plot_color (str, optional) -- color of the summary plots
summary_title (str, optional) -- overall title for summary plots
scatter_alpha (float, default 0.5) -- Transparency of the scatter plot
detailed (bool, optional) --
Include extra information in the returned figure:
Color code points by the number of times they get used in calculating Rd slopes. Default color: 2 times (as a start and endpoint). Green: 1 time. Red: 0 times.
The number of year-on-year slopes contributing to the histogram.
Note
It should be noted that the yoy_rd, yoy_ci and yoy_info are the outputs from
degradation.degradation_year_on_year().- Returns:
fig -- Figure with two axes
- Return type: