Upload app.py

app.py

@@ -946,17 +946,17 @@ elif Calc=='Single/Multiple Guides':
                         #ref_listA.columns=['gene','guide_type','protospacer_A','protospacer_B']
                         #st.table(ref_listA)
                         res,res_mut,res_notfound,list_match,list_mutated,gflga1=get_lists(ref_listA,list_found,list_notfound)
-                        dft_a=dft_a.append(ref_listA)  
+                        #dft_a=dft_a.append(ref_listA)  
                         if res.shape[0]>0:
-                            dft_resa=dft_resa.append(res)
+                            dft_resa=pd.concat([dft_resa,res])
                         if res_mut.shape[0]>0:
-                            dft_res_muta=dft_res_muta.append(res_mut)
+                            dft_res_muta=pd.concat([dft_res_muta,res_mut])
                         if res_notfound.shape[0]>0:    
-                            dft_notfounda= dft_notfounda.append(res_notfound)
+                            dft_notfounda= pd.concat([dft_notfounda,res_notfound])
                         if list_match.shape[0]>0:    
-                            df_matched_guides_ref= df_matched_guides_ref.append(list_match)
+                            df_matched_guides_ref= pd.concat([df_matched_guides_ref,list_match])
                         if list_mutated.shape[0]>0:    
-                            df_mutated_guides_ref= df_mutated_guides_ref.append(list_mutated)
+                            df_mutated_guides_ref= pd.concat([df_mutated_guides_ref,list_mutated])
                     
                     #st.write('Selected Reference Guides for **Set A**')
                     #tbl_disp(dft_a,'All','ReferenceGuides',0)
@@ -1008,17 +1008,17 @@ elif Calc=='Single/Multiple Guides':
                         
                         #ref_listB.columns=['gene','guide_type','protospacer_A','protospacer_B']
                         res,res_mut,res_notfound,list_match,list_mutated,gflgb1=get_lists(ref_listB,list_found,list_notfound)
-                        dft_b=dft_b.append(ref_listB)  
+                        #dft_b=dft_b.append(ref_listB)  
                         if res.shape[0]>0:
-                            dft_resb=dft_resb.append(res)
+                            dft_resb=pd.concat([dft_resb,res])
                         if res_mut.shape[0]>0:
-                            dft_res_mutb=dft_res_mutb.append(res_mut)
+                            dft_res_mutb=pd.concat([dft_res_mutb,res_mut])
                         if res_notfound.shape[0]>0:    
-                            dft_notfoundb= dft_notfoundb.append(res_notfound)
+                            dft_notfoundb= pd.concat([dft_notfoundb,res_notfound])
                         if list_match.shape[0]>0:    
-                            df_matched_guides_ref= df_matched_guides_ref.append(list_match)
+                            df_matched_guides_ref= pd.concat([df_matched_guides_ref,list_match])
                         if list_mutated.shape[0]>0:    
-                            df_mutated_guides_ref= df_mutated_guides_ref.append(list_mutated)
+                            df_mutated_guides_ref= pd.concat([df_mutated_guides_ref,list_mutated])
                     
                     #st.write('Selected Reference Guides for **Set B**')
                     #tbl_disp(dft_b,'All','ReferenceGuides',0)
@@ -1054,8 +1054,8 @@ elif Calc=='Single/Multiple Guides':
                         list_notfound=listC_notfound_ref
                     else:
                        
-                        list_found=listB_found_lr
-                        list_notfound=listB_notfound_lr
+                        list_found=listC_found_lr
+                        list_notfound=listC_notfound_lr
                     variant_set=get_table['sgID_AB']
                     dft_c = pd.DataFrame(columns=['gene','guide_type','protospacer_A','protospacer_B'])    
                     dft_resc=pd.DataFrame(columns=['sgID_1',	'sgRNA_1',	'chr_sgRNA_1',	'position_sgRNA_1',	'sgID_2',	'sgRNA_2',	'chr_sgRNA_2',	'position_sgRNA_2',	'sgID_1_2'])  
@@ -1071,17 +1071,17 @@ elif Calc=='Single/Multiple Guides':
                         
                         #ref_listC.columns=['gene','guide_type','protospacer_A','protospacer_B']
                         res,res_mut,res_notfound,list_match,list_mutated,gflgc1=get_lists(ref_listC,list_found,list_notfound)
-                        dft_c=dft_c.append(ref_listC)  
+                        #dft_c=dft_c.append(ref_listC)  
                         if res.shape[0]>0:
-                            dft_resc=dft_resc.append(res)
+                            dft_resc=pd.concat([dft_resc,res])
                         if res_mut.shape[0]>0:
-                            dft_res_mutc=dft_res_mutc.append(res_mut)
+                            dft_res_mutc=pd.concat([dft_res_mutc,res_mut])
                         if res_notfound.shape[0]>0:    
-                            dft_notfoundc= dft_notfoundc.append(res_notfound)
+                            dft_notfoundc= pd.concat([dft_notfoundc,res_notfound])
                         if list_match.shape[0]>0:    
-                            df_matched_guides_ref= df_matched_guides_ref.append(list_match)
+                            df_matched_guides_ref= pd.concat([df_matched_guides_ref,list_match])
                         if list_mutated.shape[0]>0:    
-                            df_mutated_guides_ref= df_mutated_guides_ref.append(list_mutated)
+                            df_mutated_guides_ref= pd.concat([df_mutated_guides_ref,list_mutated])
                     
                     #st.write('Selected Reference Guides for **Set C**')
                     #tbl_disp(dft_c,'All','ReferenceGuides',0)