Create utils.py

utils.py

@@ -0,0 +1,58 @@
+import pandas as pd
+import numpy as np
+import streamlit as st
+
+
+
+def get_data(data, filter_column_name):
+
+    data = pd.read_csv(data)
+    df = data.head(69)
+    #df = df.astype(str)
+    df.fillna("No Answer", inplace=True)
+    
+    if filter_column_name is not None:
+        if filter_column_name in df.columns:
+            filter_by = st.sidebar.selectbox(f"Choose the values from \"{filter_column_name}\" values",df[filter_column_name].unique().tolist())
+
+            filtered_df = df[df[filter_column_name]==filter_by]
+
+            return filtered_df, filter_by
+                
+        else:
+            st.error(f"No column called \"{filter_column_name}\" in given dataset")
+            return None, None
+
+    else:
+        return df, None
+
+
+def get_view(df, col_list, percent):
+
+
+
+    new_df = pd.DataFrame()
+
+    for col in col_list:
+        if col in df.columns:
+            if percent==0:
+                # Create a Series with the value counts of the current column
+                series = df[col].value_counts()
+            elif percent==1:
+                series = df[col].value_counts(normalize=True)*100
+                series = series.round(2)
+                
+
+            # Add the Series to the new DataFrame as a new column
+            new_df[col] = series
+
+        else:
+            st.error(f"Column: \"{col}\" not found in the dataset to generate view.")
+
+    view = new_df.T
+    view.reset_index(inplace=True)
+
+    if percent==1:
+        st.subheader("Percentage view")
+    
+    st.write(view)