Arts-of-coding commited on
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eb096ab
1 Parent(s): 5e999d1

Update dash_plotly_QC_scRNA.py

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  1. dash_plotly_QC_scRNA.py +3 -1
dash_plotly_QC_scRNA.py CHANGED
@@ -398,13 +398,15 @@ def update_graph_and_pie_chart(batch_chosen, s_chosen, g2m_chosen, condition1_ch
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  #list_conds = ["batch"]
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  #list_conds = list_conds.append(condition3_chosen)
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- dff_pre = dff.select(["batch"]+[condition3_chosen])
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  # Melt wide format DataFrame into long format
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  dff_long = dff_pre.melt(id_vars="batch", variable_name="Gene", value_name="Expression")
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  # Calculate the mean expression levels for each gene in each region
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  expression_means = dff_long.group_by(["batch", "Gene"]).agg(pl.mean("Expression"))
 
 
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  fig_pie = px.pie(names=labels, values=values, title=pie_title,template="seaborn")
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  #list_conds = ["batch"]
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  #list_conds = list_conds.append(condition3_chosen)
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+ dff_pre = dff.select(["batch","Cdc45","Mcm2","Mcm5"])
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  # Melt wide format DataFrame into long format
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  dff_long = dff_pre.melt(id_vars="batch", variable_name="Gene", value_name="Expression")
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  # Calculate the mean expression levels for each gene in each region
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  expression_means = dff_long.group_by(["batch", "Gene"]).agg(pl.mean("Expression"))
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+
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+ expression_means = expression_means.select(condition3_chosen)
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  fig_pie = px.pie(names=labels, values=values, title=pie_title,template="seaborn")
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