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Update app.py
Browse files
app.py
CHANGED
@@ -7,7 +7,27 @@ from scipy.stats import norm
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def figo(plot_type, df, title, xlabel=None, ylabel=None, legend_title=None, colorscale='Plotly3'):
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if plot_type == "
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df = df.apply(pd.to_numeric, errors='coerce')
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fig = go.Figure(data=go.Heatmap(
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@@ -18,6 +38,20 @@ def figo(plot_type, df, title, xlabel=None, ylabel=None, legend_title=None, colo
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colorscale=colorscale
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))
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elif plot_type == "Bar":
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fig = go.Figure()
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col = df.name
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@@ -28,23 +62,24 @@ def figo(plot_type, df, title, xlabel=None, ylabel=None, legend_title=None, colo
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))
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fig.update_layout(barmode='group')
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else:
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raise ValueError("Invalid plot_type. Supported types are 'Heatmap' and 'Bar'.")
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fig.update_layout(
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title={
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'text': title,
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'y':0.95,
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'x':0.5,
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'xanchor': 'center',
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'yanchor': 'top'
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},
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xaxis_title=xlabel,
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yaxis_title=ylabel,
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legend_title=legend_title,
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template="plotly_white"
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)
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return fig
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def figo(plot_type, df, title, xlabel=None, ylabel=None, legend_title=None, colorscale='Plotly3'):
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if plot_type == "Scatter":
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fig = go.Figure()
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for column in df.columns[0:]:
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fig.add_trace(go.Scatter(
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y=df['categories'],
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x=df[column],
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mode='lines+markers+text',
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name=column,
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text=df[column],
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textposition="middle right"
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))
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fig.update_layout(
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title=title,
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xaxis_title="percentage",
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yaxis_title="category",
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yaxis={'categoryorder': 'array', 'categoryarray': data['categories']}
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)
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elif plot_type == "Heatmap":
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df = df.apply(pd.to_numeric, errors='coerce')
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fig = go.Figure(data=go.Heatmap(
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colorscale=colorscale
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))
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fig.update_layout(
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title={
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'text': title,
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'y':0.95,
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'x':0.5,
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'xanchor': 'center',
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'yanchor': 'top'
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},
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xaxis_title=xlabel,
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yaxis_title=ylabel,
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legend_title=legend_title,
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template="plotly_white"
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)
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elif plot_type == "Bar":
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fig = go.Figure()
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col = df.name
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))
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fig.update_layout(barmode='group')
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fig.update_layout(
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title={
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'text': title,
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'y':0.95,
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'x':0.5,
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'xanchor': 'center',
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'yanchor': 'top'
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},
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xaxis_title=xlabel,
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yaxis_title=ylabel,
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legend_title=legend_title,
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template="plotly_white"
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)
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else:
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raise ValueError("Invalid plot_type. Supported types are 'Heatmap' and 'Bar'.")
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return fig
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