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.

Parameters:	df_var (pd.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`
Returns:	figure showing 1:1 line plot
Return type:	MPL.figure