How to use the rdtools.plotting.soiling_monte_carlo_plot function in rdtools
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NREL / rdtools / rdtools / system_analysis.py View on Github 
Extra parameters passed to plotting.soiling_monte_carlo_plot()
Returns
-------
matplotlib.figure.Figure
See Also
--------
rdtools.plotting.soiling_monte_carlo_plot
'''
keys = [f'{result_to_plot}_soiling_results',
f'{result_to_plot}_aggregated']
results_dict, aggregated = self.calculate(keys)
fig = plotting.soiling_monte_carlo_plot(results_dict['calc_info'],
aggregated, **kwargs)
return fig
rdtools
Functions for reproducible timeseries analysis of photovoltaic systems.
Package Health Score
68 / 100Popular rdtools functions
- rdtools.__version__
- rdtools.aggregation.aggregation_insol
- rdtools.clearsky_temperature.get_clearsky_tamb
- rdtools.degradation.degradation_year_on_year
- rdtools.degradation_classical_decomposition
- rdtools.degradation_ols
- rdtools.degradation_year_on_year
- rdtools.filtering
- rdtools.normalization.energy_from_power
- rdtools.normalization.interpolate
- rdtools.normalization.irradiance_rescale
- rdtools.normalization.normalize_with_pvwatts
- rdtools.plotting.degradation_summary_plots
- rdtools.plotting.soiling_interval_plot
- rdtools.plotting.soiling_monte_carlo_plot
- rdtools.plotting.soiling_rate_histogram
- rdtools.soiling.NoValidIntervalError
- rdtools.soiling.soiling_srr