Update app.py

app.py

@@ -405,6 +405,7 @@ if query:
         m = df1.Word.isin(df2.symbol)
         df1 = df1[m]
         df1.rename(columns={'Word': 'Genes'}, inplace=True)
+        df1.reset_index(drop=True, inplace=True)  # Reset the index here
         df_len = len(df1)
         # print(len(df1))
 
@@ -425,7 +426,7 @@ if query:
 
         df11 = df1.head(value_gene).copy()
 
-        df11.index = (1 / df11.index) * 10000
+        df11.index = (1 / (df11.index + 1)) * 10000  # Add 1 to the index before dividing
         sizes = df11.index.tolist()
 
         df11.set_index('Genes', inplace=True)
@@ -563,6 +564,7 @@ if query:
         m = df1.Word.isin(df2.drugs)
         df1 = df1[m]
         df1.rename(columns={'Word': 'Drugs'}, inplace=True)
+        df1.reset_index(drop=True, inplace=True)
         df_len = len(df1)
         # print(len(df1))
         # df1["Human Gene"] = df1["Human Gene"].str.upper()
@@ -589,7 +591,8 @@ if query:
 
         df13 = df1.head(value_drug).copy()
 
-        df13.index = (1 / df13.index) * 10000
+        df13.index = (1 / (df13.index + 1)) * 10000
+
         sizes = df13.index.tolist()
 
         df13.set_index('Drugs', inplace=True)
@@ -723,6 +726,7 @@ if query:
         m = df1.Word.isin(df2.phyto)
         df1 = df1[m]
         df1.rename(columns={'Word': 'Phytochemical'}, inplace=True)
+        df1.reset_index(drop=True, inplace=True)
         df_len = len(df1)
         # print(len(df1))
         # df1["Human Gene"] = df1["Human Gene"].str.upper()
@@ -750,7 +754,7 @@ if query:
 
         df15 = df1.head(value_phyto).copy()
 
-        df15.index = (1 / df15.index) * 10000
+        df15.index = (1 / (df15.index + 1)) * 10000
         sizes = df15.index.tolist()
 
         df15.set_index('Phytochemical', inplace=True)
@@ -884,6 +888,7 @@ if query:
         m = df1.Word.isin(df2.compound)
         df1 = df1[m]
         df1.rename(columns={'Word': 'Compounds'}, inplace=True)
+        df1.reset_index(drop=True, inplace=True)
         df_len = len(df1)
         # df1["Human Gene"] = df1["Human Gene"].str.upper()
         # print(df1.head(50))
@@ -910,7 +915,7 @@ if query:
 
         df12 = df1.head(value_compound).copy()
 
-        df12.index = (1 / df12.index) * 10000
+        df12.index = (1 / (df12.index + 1)) * 10000
         sizes = df12.index.tolist()
 
         df12.set_index('Compounds', inplace=True)