Update dash_plotly_QC_scRNA.py
Browse files- dash_plotly_QC_scRNA.py +2 -1
dash_plotly_QC_scRNA.py
CHANGED
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@@ -77,6 +77,7 @@ max_value_3 = round(max_value_3, 1)
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# Add Sliders for three QC params: N genes by counts, total amount of reads and pct MT reads
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tab1_content = html.Div([
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dcc.Dropdown(id='dpdn2', value="batch", multi=False,
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options=df.columns),
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html.Label("N Genes by Counts"),
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@@ -368,7 +369,7 @@ def update_graph_and_pie_chart(col_chosen, s_chosen, g2m_chosen, condition1_chos
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fig_pie = px.pie(names=labels, values=values, title=pie_title,template="seaborn")
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# Create the scatter plots
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fig_scatter = px.scatter(data_frame=dff, x='X_umap-0', y='X_umap-1', color=
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labels={'X_umap-0': 'umap1' , 'X_umap-1': 'umap2'},
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hover_name='batch',template="seaborn")
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# Add Sliders for three QC params: N genes by counts, total amount of reads and pct MT reads
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tab1_content = html.Div([
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html.Label("Column chosen"),
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dcc.Dropdown(id='dpdn2', value="batch", multi=False,
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options=df.columns),
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html.Label("N Genes by Counts"),
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fig_pie = px.pie(names=labels, values=values, title=pie_title,template="seaborn")
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# Create the scatter plots
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fig_scatter = px.scatter(data_frame=dff, x='X_umap-0', y='X_umap-1', color=col_chosen,
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labels={'X_umap-0': 'umap1' , 'X_umap-1': 'umap2'},
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hover_name='batch',template="seaborn")
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