Arts-of-coding commited on
Commit
c79e641
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verified ·
1 Parent(s): f98bf3c

Update dash_plotly_QC_scRNA.py

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  1. dash_plotly_QC_scRNA.py +3 -2
dash_plotly_QC_scRNA.py CHANGED
@@ -405,8 +405,9 @@ def update_graph_and_pie_chart(batch_chosen, s_chosen, g2m_chosen, condition1_ch
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  expression_means = dff_long.lazy().group_by(["batch", "Gene"]).agg(pl.mean("Mean expression")).collect()
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  # Calculate the percentage total expressed
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- dff_long1 = dff_pre.melt(id_vars="batch", variable_name="Gene")
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- dff_long2 = dff_long1.group_by(pl.col(["batch","Gene","value"])).len()
 
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  dff_long3 = dff_long2.filter(value = 0).group_by(["batch", "Gene"]).agg(pl.sum("len").alias("total"))
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  dff_long4 = dff_long2.group_by(["batch", "Gene"]).agg(pl.sum("len").alias("total"))
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  dff_5 = dff_long4.join(dff_long3, on=["batch","Gene"], how="outer")
 
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  expression_means = dff_long.lazy().group_by(["batch", "Gene"]).agg(pl.mean("Mean expression")).collect()
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  # Calculate the percentage total expressed
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+ dff_long1 = dff_long.melt(id_vars="batch", variable_name="Gene")#.group_by(pl.all()).agg(pl.len())
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+ count = 1
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+ dff_long2 = dff_long1.with_columns(pl.lit(count).alias("len"))
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  dff_long3 = dff_long2.filter(value = 0).group_by(["batch", "Gene"]).agg(pl.sum("len").alias("total"))
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  dff_long4 = dff_long2.group_by(["batch", "Gene"]).agg(pl.sum("len").alias("total"))
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  dff_5 = dff_long4.join(dff_long3, on=["batch","Gene"], how="outer")