def supply_curve_plot(self, lcoe='mean_lcoe', out_path=None, **kwargs):
"""
Plot supply curve (cumulative capacity vs lcoe) using seaborn.scatter
Parameters
----------
lcoe : str, optional
LCOE value to plot, by default 'mean_lcoe'
out_path : str, optional
File path to save plot to, by default None
kwargs : dict
Additional kwargs for plotting.dataframes.df_scatter
"""
sc_df = self._extract_sc_data(lcoe=lcoe)
mplt.df_scatter(sc_df, x='cumulative_capacity', y=lcoe,
filename=out_path, **kwargs)
def scatter_plot(self, value, cmap='viridis', out_path=None, **kwargs):
"""
Plot scatter plot of value versus longitude and latitude using
pandas.plot.scatter
Parameters
----------
value : str
Column name to plot as color
cmap : str, optional
Matplotlib colormap name, by default 'viridis'
out_path : str, optional
File path to save plot to, by default None
kwargs : dict
Additional kwargs for plotting.dataframes.df_scatter
"""
self._check_value(self.summary, value)
mplt.df_scatter(self.summary, x='longitude', y='latitude', c=value,
colormap=cmap, filename=out_path, **kwargs)