More refinements to graphs
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@@ -334,8 +334,8 @@ def create_heatmap(data2d, xLabels, yLabels, save_path='heatmap.html'):
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graph_html = fig.to_html(full_html=False)
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return graph_html
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def create_line_chart(data2d, xLabels,yLabels, save_path='line_chart.html'):
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def create_line_chart(data2d, xLabels, yLabels, save_path='line_chart.html'):
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fig = go.Figure()
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excluded_columns = ["Count", "PERCENT", "TOTALS"]
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@@ -350,12 +350,16 @@ def create_line_chart(data2d, xLabels,yLabels, save_path='line_chart.html'):
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if len(yLabels) != sanitized_data.shape[0]:
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raise ValueError("The length of yLabels must match the number of rows in the data.")
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# Remove rows with all zero elements and the corresponding categories
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nonzero_rows_indices = np.where(~np.all(sanitized_data == 0, axis=0))[0] # find rows with non-zero elements
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sanitized_data = sanitized_data[:, nonzero_rows_indices]
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filtered_xLabels = [filtered_xLabels[i] for i in nonzero_rows_indices] # update filtered_xLabels
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for i, category in enumerate(filtered_xLabels):
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fig.add_trace(go.Scatter(
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mode='lines+markers',
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name=category,
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x=[f'Hour {j}' for j in range(sanitized_data.shape[0])],
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x= [f'{j:02d}:00' for j in range(sanitized_data.shape[0])],
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y=sanitized_data[:, i]
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))
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@@ -365,12 +369,14 @@ def create_line_chart(data2d, xLabels,yLabels, save_path='line_chart.html'):
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yaxis=dict(title='Count'),
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legend_title_text='Category'
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)
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fig.write_html(save_path)
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# Write it to a var and return the string
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graph_html = fig.to_html(full_html=False)
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return graph_html
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def save_summaries_to_db(date_str, hour, parsed_data):
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