replacing deepcopy by shallow copy in pretty_print()

from collections import OrderedDict

from typing import Union

import yaml

import copy

import pandas as pd

import matplotlib.pyplot as plt

from openpyxl import load_workbook

        print(f"\ttime: {solver['time']}")

        print("Solution")

        print_section('Stuff', results['solution'])

        print_section('Stuff', results['solution'].copy())

def print_section(section_name: str, solution_section: dict) -> None:

            'pl_decay': boolean value; whether to plot 'decay loss' or not

        size: tuple defining (width, height) of the plot.

    """

    solution_section = copy.deepcopy(results['solution'])

    solution_section = results['solution'].copy()

    attributes = to_dataframes(solution_section)

    if to_plot is None:

        to_plot = {'pl_state': True, 'pl_gross_ch': True, 'pl_gross_dch': True,

from pyehub.outputter import plot_storages

import pickle

import copy

import pandas as pd

import matplotlib.pyplot as plt

from pyehub.energy_hub.ehub_model import EHubModel

from pyehub.outputter import pretty_print

# import seaborn as sns

# sns.set()

def plot_energy_balance(model, results: dict, size: tuple = (8, 5), lw: float = 3, dl: float = 3 ) -> None:

    attributes = copy.deepcopy(results['solution'])

    attributes = results['solution'].copy()

    streams_wo_sources = [x for x in model.streams if x not in model.sources]

    for stream in streams_wo_sources:

                ds = (dl, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1)

            # plt.plot(data, label=label, axes=ax, linewidth=lw, marker=mk, dashes=ds)

            plt.plot(data, label=label, axes=ax, linewidth=lw, dashes=ds)

            plt.legend(loc='best')

            plt.legend(loc='best',ncol=2)

            ax.set(title=stream, xticks=model.time, xlabel='Timesteps (-)', ylabel=stream+' (kWh)')

        plt.show()

    model = EHubModel(excel=input_file)

    model1 =EHubModel(excel=input_file)

    results = model.solve()

    plot_storages(results)

    results1=model1.solve()

    # print(results['solution'] == results1['solution'])

    # plot_storages(results)

    plot_energy_balance(model1, results)

    # pretty_print(results)

    # print(results['solution'] == results1['solution'])

if __name__ == '__main__':

    main()