metobs_toolkit.dataset.Dataset.make_plot_of_modeldata

Dataset.make_plot_of_modeldata(obstype: str = 'temp', colormap: dict | None = None, title: str | None = None, linestyle: str = '--', ax: Axes | None = None, figkwargs: dict = {}) → Axes

Generate a timeseries plot of model data for a specific observation type.

Parameters:

• obstype (str, optional) – The type of observation to plot (e.g., “temp”) modeldata for, by default “temp”.

• colormap (dict | None, optional) – The colormap for the lines per stationname. The keys must be the names of the stations, and the values the color. If None, a default color map is used.

• title (str or None, optional) – The title of the plot. If None, a default title is generated, by default None.

• linestyle (str, optional) – The style of the line in the plot, by default “–“.

• ax (matplotlib.axes.Axes, optional) – The axes on which to plot. If None, a new axes object is created.

• figkwargs (dict, optional) – Additional keyword arguments passed to matplotlib.pyplot.subplots(), by default an empty dictionary.

Returns:

The axes object containing the plot.

Return type:

matplotlib.axes.Axes