Update app.py

app.py

@@ -98,7 +98,7 @@ def two_variable_ss(df, var1, var2):
     friquency_dataframe = counter.unstack(fill_value=0)
 
     column_sums = friquency_dataframe.sum(axis=0)
-    percentage_dataframe = friquency_dataframe.div(column_sums, axis=1)
+    percentage_dataframe = friquency_dataframe.div(column_sums, axis=1) * 100
 
     friquency_dataframe['Total'] = list(single_answer(df[var1]).iloc[:,1])[:-1]
     friquency_dataframe.loc['Sample_size'] = list(single_answer(df[var2]).iloc[:,1])
@@ -175,6 +175,7 @@ def z_testes(n1, n2, p1, p2):
 def z_test_data(df):
 
     rows, cols = df.shape
+    styles = pd.DataFrame('', index=df.index, columns=df.columns)
 
     for i in range(rows-2):
         for j in range(cols-2):
@@ -183,12 +184,12 @@ def z_test_data(df):
             p1 = df.iloc[i, -1]  # x_1J
             p2 = df.iloc[i, j]  # x_ij
             p_value = z_testes(n1, n2, p1, p2)
-            if p_value < 0.05:
-                df.iloc[i, j] = f'<span style="background-color:lightgreen">{df.iloc[i, j]}</span>'
+            if p_value <= 0.05:
+                styles.iloc[i, j] = 'background-color: lightgreen;'
             else:
-                df.iloc[i, j] = f'<span style="background-color:lightgray">{df.iloc[i, j]}</span>'
+                styles.iloc[i, j] = 'background-color: lightgray;'
 
-    return df
+    return df.style.apply(lambda x: styles, axis=None)
 
 def Z_test_dataframes(sheets_data):
     """Processes each sheet's DataFrame and computes new DataFrames with Z-test results."""