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import dependencies
from IPython.display import display, HTML
from scripts import capacitor_bank_analysis as cba
from nummath import graphing
BEREKENING VAN DE CONDENSATORSTROMEN I.F.V. DE GEMETEN MOMENTANE BELASTING EN ANALYSE VAN STROOMOVERSCHRIJDINGEN¶
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all_results = cba.analyze()
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all_results
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comb_results = [all_results[all_results['combination'] == comb]
for comb in ['comb1', 'comb2', 'comb3', 'comb4', 'comb5', 'comb6']
]
for cr in comb_results:
if not cr.empty:
print(cr)
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num_results = [len(comb_results[i].index) for i in range(len(comb_results))]
output = f"<ul>"
for i, num in enumerate(num_results):
output += f"<li>Aantal overschrijdingen met schakelcombinatie nr. {i + 1} = <b>{num}</b></li>"
output += f"</ul>"
display(HTML(output))
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datasets = []
dataset = {
'name': 'comb3-st1',
'x': comb_results[2][comb_results[2]['stage'] == 'I1']['time'],
'y': comb_results[2][comb_results[2]['stage'] == 'I1']['Irms']
}
datasets.append(dataset)
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dataset = {
'name': 'comb3-st3',
'x': comb_results[2][comb_results[2]['stage'] == 'I3']['time'],
'y': comb_results[2][comb_results[2]['stage'] == 'I3']['Irms']
}
datasets.append(dataset)
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dataset = {
'name': 'comb4-st1',
'x': comb_results[3][comb_results[3]['stage'] == 'I1']['time'],
'y': comb_results[3][comb_results[3]['stage'] == 'I1']['Irms']
}
datasets.append(dataset)
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dataset = {
'name': 'comb4-st2',
'x': comb_results[3][comb_results[3]['stage'] == 'I2']['time'],
'y': comb_results[3][comb_results[3]['stage'] == 'I2']['Irms']
}
datasets.append(dataset)
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dataset = {
'name': 'comb4-st3',
'x': comb_results[3][comb_results[3]['stage'] == 'I3']['time'],
'y': comb_results[3][comb_results[3]['stage'] == 'I3']['Irms']
}
datasets.append(dataset)
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from pandas.plotting import register_matplotlib_converters
register_matplotlib_converters()
graph = graphing.Graph(fig_size=[12, 8], dpi=96)
for dataset in datasets:
graph.add_data_set(name=dataset['name'], x=dataset['x'], y=dataset['y'], marker='o', linestyle='none')
graph.setup_time_axis(date_min=all_results['time'].iloc[0], date_max=all_results['time'].iloc[-1])
graph.add_legend()
graph.set_axis_titles(x_title='time', y_title='Irms [A]')
graph.turn_grid_on()
graph.draw_graph()
graph.show_graph()
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