add Q-vs-T plot

[ahobeost]

The following example code produces the plot below

names_legend = [
    '$Q_{coll}(T_{in})$',
    '$Q_{coll}(T_{out})$',
    '$Q_{Hx}(T_{in})$',
    '$Q_{Hx}(T_{out})$',
    '$Q_{evap}(T_{in})$',
    '$Q_{evap}(T_{out})$',
    '$Q_{dem}(T_{in})$',
    '$Q_{dem}(T_{out})$',
]
plot_variables = [
    ["CollP_kW_calc", "CollTIn"],
    ["CollP_kW_calc", "CollTOut"],
    ["HxQ_kW", "HxTSide1In"],
    ["HxQ_kW", "HxTSide1Out"],
    ["HpQEvap_kW", "HpTEvapIn"],
    ["HpQEvap_kW", "HpTEvapOut"],
    ["QSnkP_kW", "QSnkTIn"],
    ["QSnkP_kW", "QSnkTOut"],
]

dataframes = pd.DataFrame() #[]

_plt.figure()

for q, t in plot_variables:
    a = abs(sim.hourly[q])
    b = sim.hourly[t]
    df = pd.DataFrame({q: a, t: b})

    df = df.sort_values(by=t)
    df[q] = np.cumsum(df[q])
    # dataframes = dataframes + a + b
    # dataframes.append(df)

    fig = _plt.plot(df[t], df[q], label=q + "____" + t)  # , linestyle='-', color='blue', label='Q_cum')
    
_plt.xlabel('Temperature [°C]')
_plt.ylabel('Cumulative energy [kWh]')
_plt.grid()
_plt.legend(names_legend)
api.export_plots_in_configured_formats(fig[0].figure, sim.path, "q_t", "q_vs_t")
 

[ahobeost]

@mikelarelarra