Arts-of-coding commited on
Commit
2999709
·
verified ·
1 Parent(s): beaebc4

Update dash_plotly_QC_scRNA.py

Browse files
Files changed (1) hide show
  1. dash_plotly_QC_scRNA.py +2 -2
dash_plotly_QC_scRNA.py CHANGED
@@ -395,8 +395,8 @@ def update_graph_and_pie_chart(batch_chosen, s_chosen, g2m_chosen, condition1_ch
395
 
396
  # Melt wide format DataFrame into long format
397
  dff_pre = dff.with_columns(["batch","Cdc45","Uhrf1","Mcm2","Slbp","Mcm5","Pola1","Gmnn","Cdc6","Rrm2","Atad2"])
398
- dff_pre = dff_pre.with_columns(dff_pre['batch'].cast(pl.Utf8))
399
- dff_long = dff_pre.melt(id_vars="batch", variable_name="Gene", value_name="Expression")
400
  expression_means = dff_long.group_by(["Region", "Gene"]).agg(pl.mean("Expression"))
401
 
402
  fig_pie = px.pie(names=labels, values=values, title=pie_title,template="seaborn")
 
395
 
396
  # Melt wide format DataFrame into long format
397
  dff_pre = dff.with_columns(["batch","Cdc45","Uhrf1","Mcm2","Slbp","Mcm5","Pola1","Gmnn","Cdc6","Rrm2","Atad2"])
398
+ #dff_pre = dff_pre.with_columns(dff_pre['batch'].cast(pl.Utf8))
399
+ dff_long = dff_pre.with_columns(pl.col('batch').cast(pl.Categorical)).melt(id_vars="batch", variable_name="Gene", value_name="Expression")
400
  expression_means = dff_long.group_by(["Region", "Gene"]).agg(pl.mean("Expression"))
401
 
402
  fig_pie = px.pie(names=labels, values=values, title=pie_title,template="seaborn")