Create utils.py
Browse files
utils.py
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import plotly.graph_objects as go
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import streamlit
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@streamlit.cache_data
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def plot_sankey(data, output_file='sankey_diagram_oct.html', i=0, do='до'):
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labels = []
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sources = []
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targets = []
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values = []
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# Сбор данных для диаграммы
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for event, next_events in data.items():
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# Добавляем основное событие в метки
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if event not in labels:
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labels.append(event)
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current_event_index = labels.index(event)
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for next_event, (user_count, percentage) in next_events.items():
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if next_event not in labels:
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labels.append(next_event)
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next_event_index = labels.index(next_event)
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sources.append(current_event_index)
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targets.append(next_event_index)
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values.append(user_count)
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# Создание диаграммы
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fig = go.Figure(data=[go.Sankey(
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valueformat= ".0f",
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valuesuffix="TWh",
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# font = dict(family='Arial',
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# size=14,
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# color='black'),
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node=dict(
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# family='Arial',
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pad=15,
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thickness=20,
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line=dict(color="black", width=0.1),
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label=labels,
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# font = dict(size=15, color="black")
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),
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link=dict(
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# family = 'Arial',
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source=sources,
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target=targets,
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value=values,
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label=[f"{user_count} ({percentage})" for user_count, percentage in
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zip(values, [data[labels[sources[i]]][labels[targets[i]]][1] for i in range(len(sources))])],
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)
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)])
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return fig.update_layout(title_text=f"Воронка сервиса Финансовое здоровье за октябрь 2024, часть {i} ({do} ГЭС ФЗ)",
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font_size=10,
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font= dict(size=10, color='white'),
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plot_bgcolor='white',
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paper_bgcolor='white')
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# Сохранение диаграммы в HTML файл
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# fig.write_html(f'test_sanki_oct_part{i}.html')
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# print(f"Диаграмма успешно сохранена в файл: test_sanki.html")
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# fig.show()
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