Update app.py

app.py

@@ -5,6 +5,12 @@ import plotly.express as px
 import plotly.graph_objects as go
 from scipy.stats import norm
 
+def sorting(df):
+    df.index = list(map(float, df.index))
+    df = df.sort_index
+
+    return df
+
 def figo(plot_type, df, title, xlabel=None, ylabel=None, legend_title=None, colorscale='Plotly3', width=800, height=600):
     if plot_type == "Scatter":
         fig = go.Figure()
@@ -96,7 +102,6 @@ def is_matching_pattern(column, prefix):
         return True
     return False
 
-
 def multi_answer(df):
     friquency = {}
     for i in df.columns:
@@ -112,7 +117,6 @@ def multi_answer(df):
     friquency_dataframe.loc[len(friquency_dataframe)] = ['Sample_size', len(df.dropna(how='all')), 1]
     return friquency_dataframe
     
-
 def single_answer(df):
     counter = df.value_counts()
     friquency_dataframe = pd.DataFrame({
@@ -137,6 +141,8 @@ def two_variable_ss(df, var1, var2):
     counter = df.groupby(var1)[var2].value_counts()
     friquency_dataframe = counter.unstack(fill_value=0)
 
+    friquency_dataframe = sorting(friquency_dataframe)
+
     column_sums = friquency_dataframe.sum(axis=0)
     percentage_dataframe = friquency_dataframe.div(column_sums, axis=1) * 100
 
@@ -161,6 +167,9 @@ def two_variable_sm(df, var1, var2):
 
     friquency_dataframe.index, percentage_dataframe.index = value, value
 
+    friquency_dataframe = sorting(friquency_dataframe)
+    percentage_dataframe = sorting(percentage_dataframe)
+
     friquency_dataframe['Total'] = list(multi_answer(df[var2]).iloc[:,1])[:-1]
     friquency_dataframe.loc['Sample_size'] = list(single_answer(df[var1]).iloc[:,1])
     percentage_dataframe['Total'] = list(multi_answer(df[var2]).iloc[:,2])[:-1]
@@ -183,6 +192,9 @@ def two_variable_mm(df, var1, var2):
 
     friquency_dataframe.index, percentage_dataframe.index = value, value
 
+    friquency_dataframe = sorting(friquency_dataframe)
+    percentage_dataframe = sorting(percentage_dataframe)
+
     friquency_dataframe['Total'] = list(multi_answer(df[var2]).iloc[:,1])[:-1]
     friquency_dataframe.loc['Sample_size'] = list(multi_answer(df[var1]).iloc[:,1])
     percentage_dataframe['Total'] = list(multi_answer(df[var2]).iloc[:,2])[:-1]