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Update app.py
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app.py
CHANGED
@@ -104,8 +104,8 @@ def dl(valforkey):
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hh=pd.read_table('output/SBS96/Samples.txt')
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hh['nums']=hh.iloc[:,1]
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hh['mutation_simple']=hh['MutationType'].apply(lambda x: re.sub('].$','',re.sub('^.\[','',x)))
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summary_table_sbs_all=hh.groupby('mutation_simple').apply(lambda x: x.sum())[['
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summary_table_sbs_all.to_csv('sbs_summary.txt',sep='\t',header=False,index=
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with open("sbs_summary.txt","rb") as txt_file:
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summary_table_sbs_all_bytes = txt_file.read()
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txt_file.close()
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@@ -122,8 +122,8 @@ def dl(valforkey):
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hh2=pd.read_table('output/ID83/Samples.txt')
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hh2['nums']=hh2.iloc[:,1]
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hh2['mutation_simple']=hh2['MutationType'].apply(lambda x: re.sub('].$','',re.sub('^.\[','',x)))
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summary_table_id_all=hh2.groupby('mutation_simple').apply(lambda x: x.sum())[['
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summary_table_id_all.to_csv('id_summary.txt',sep='\t',header=False,index=
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with open("id_summary.txt","rb") as txt_file:
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summary_table_id_all_bytes = txt_file.read()
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txt_file.close()
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@@ -139,8 +139,8 @@ def dl(valforkey):
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hh3=pd.read_table('output/DBS78/Samples.txt')
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hh3['nums']=hh3.iloc[:,1]
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hh3['mutation_simple']=hh3['MutationType'].apply(lambda x: re.sub('].$','',re.sub('^.\[','',x)))
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summary_table_dbs_all=hh3.groupby('mutation_simple').apply(lambda x: x.sum())[['
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summary_table_dbs_all.to_csv('dbs_summary.txt',sep='\t',header=False,index=
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with open("dbs_summary.txt","rb") as txt_file:
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summary_table_dbs_all_bytes = txt_file.read()
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txt_file.close()
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@@ -246,14 +246,13 @@ if file_to_lookat !=[] and sub:
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tovcf.to_csv(nameuse,sep='\t',header=False, index=False)
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st.write('original file read as:')
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st.write(table_of_penn_file)
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#st.write(nameuse)
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with open(nameuse,"rb") as txt_file:
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bytes_data=txt_file.read()
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txt_file.close()
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with open(os.path.join("input",nameuse),"wb") as f:
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st.write('file after liftover:')
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st.write(os.path.join("input",nameuse))
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f.write(bytes_data)
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f.close()
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seev=glob.glob('input/*')
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hh=pd.read_table('output/SBS96/Samples.txt')
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hh['nums']=hh.iloc[:,1]
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hh['mutation_simple']=hh['MutationType'].apply(lambda x: re.sub('].$','',re.sub('^.\[','',x)))
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summary_table_sbs_all=hh.groupby('mutation_simple').apply(lambda x: x.sum())[['nums']]
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summary_table_sbs_all.to_csv('sbs_summary.txt',sep='\t',header=False,index=True)
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with open("sbs_summary.txt","rb") as txt_file:
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summary_table_sbs_all_bytes = txt_file.read()
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txt_file.close()
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hh2=pd.read_table('output/ID83/Samples.txt')
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hh2['nums']=hh2.iloc[:,1]
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hh2['mutation_simple']=hh2['MutationType'].apply(lambda x: re.sub('].$','',re.sub('^.\[','',x)))
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summary_table_id_all=hh2.groupby('mutation_simple').apply(lambda x: x.sum())[['nums']]
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summary_table_id_all.to_csv('id_summary.txt',sep='\t',header=False,index=True)
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with open("id_summary.txt","rb") as txt_file:
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summary_table_id_all_bytes = txt_file.read()
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txt_file.close()
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hh3=pd.read_table('output/DBS78/Samples.txt')
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hh3['nums']=hh3.iloc[:,1]
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hh3['mutation_simple']=hh3['MutationType'].apply(lambda x: re.sub('].$','',re.sub('^.\[','',x)))
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summary_table_dbs_all=hh3.groupby('mutation_simple').apply(lambda x: x.sum())[['nums']]
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summary_table_dbs_all.to_csv('dbs_summary.txt',sep='\t',header=False,index=True)
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with open("dbs_summary.txt","rb") as txt_file:
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summary_table_dbs_all_bytes = txt_file.read()
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txt_file.close()
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tovcf.to_csv(nameuse,sep='\t',header=False, index=False)
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st.write('original file read as:')
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st.write(table_of_penn_file)
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st.write('file after liftover:')
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st.write(tovcf)
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#st.write(nameuse)
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with open(nameuse,"rb") as txt_file:
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bytes_data=txt_file.read()
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txt_file.close()
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with open(os.path.join("input",nameuse),"wb") as f:
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f.write(bytes_data)
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f.close()
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seev=glob.glob('input/*')
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