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supy.util.plot_comp

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6.1.3.2.7.1. supy.util.plot_comp#

supy.util.plot_comp(df_var, scatter_kws={'alpha': 0.1, 'color': 'k', 's': 0.3}, kde_kws={'levels': 4, 'shade': True, 'shade_lowest': False}, show_pdf=False, fig=None, ax=None)[source]#

Produce a scatter plot with linear regression line to compare simulation results and observations.

6.1.3.2.7.1. Parameters#

df_varpd.DataFrame

DataFrame containing variables to plot with datetime as index. Two columns, ‘Obs’ and ‘Sim’ for observations and simulation results, respectively, must exist.

scatter_kws: dict

keyword arguments passed to sns.regplot. By default, {"alpha": 0.1, "s": 0.3, "color": "k"}.

show_pdf: boolean

if a PDF overlay should be added. By default, False.

kde_kws: dict

kde_kws passed to sns.kdeplot when show_pdf=True

6.1.3.2.7.1. Returns#

MPL.figure

figure showing 1:1 line plot

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