pytrnsys_process.plot.plot_wrappers.energy_balance#

pytrnsys_process.plot.plot_wrappers.energy_balance(df: DataFrame, q_in_columns: list[str], q_out_columns: list[str], q_imb_column: str | None = None, use_legend: bool = True, size: tuple[float, float] = (7.8, 3.9), **kwargs: Any) → tuple[Figure, Axes][source]#

Create a stacked bar chart showing energy balance with inputs, outputs and imbalance. This function creates an energy balance visualization where:

  • Input energies are shown as positive values

  • Output energies are shown as negative values

  • Energy imbalance is either provided or calculated as (sum of inputs + sum of outputs)

Parameters:

  • df (pandas.DataFrame) – the dataframe to plot

  • q_in_columns (list of str) – column names representing energy inputs

  • q_out_columns (list of str) – column names representing energy outputs

  • q_imb_column (list of str, optional) – column name containing pre-calculated energy imbalance

  • use_legend (bool, default 'True') – whether to show the legend or not

  • size (tuple of (float, float)) – size of the figure (width, height)

  • **kwargs – Additional keyword arguments to pass on to pandas.DataFrame.plot().

Return type:

tuple of (matplotlib.figure.Figure, matplotlib.axes.Axes)

Examples

>>> api.energy_balance(
>>> simulation.monthly,
>>> q_in_columns=["QSnk60PauxCondSwitch_kW"],
>>> q_out_columns=["QSnk60P", "QSnk60dQlossTess", "QSnk60dQ"],
>>> q_imb_column="QSnk60qImbTess",
>>> xlabel=""
>>> )
../../_images/pytrnsys_process-plot-plot_wrappers-energy_balance-1.png