Update pages/hari.py

pages/hari.py

@@ -6,14 +6,37 @@ import pandas as pd
 # Structured Data - Excel Page
 def excel_details_page():
     st.title("Structured Data - Excel Details")
+
+    st.markdown("<h3 style='text-align:; color: #4a90e2;'>1. Handling Excel Files (.xlsx)</h3>", unsafe_allow_html=True)
+    st.markdown("""
+    <ul style="font-family: Arial; line-height: 1.6;">
+        <li>Excel Files are (XLSX) Created using the Microsoft Excel application.</li>
+        <li>Structured data format.</li>
+        <li>Excel files automatically handle encoding during creation, so no encoding issues arise.</li>
+        <li>If there are extra values in a row, Excel creates a new column and fills it with <b>null values</b> instead of throwing a <b>parsing error</b>.</li>
+    </ul>
+    """, unsafe_allow_html=True)
+
+    st.markdown("<h3 style='text-align:; color: #ffa500;'>2. Reading Excel Files (.xlsx)</h3>", unsafe_allow_html=True)
     st.markdown("""
-    **Excel** files store structured data in a tabular format with rows and columns.
+    <ul style="font-family: Arial; line-height: 1.6;">
+        <li>Use the <b>pandas</b> function, <b>pd.read_excel("path")</b>, to read an Excel file.</li>
+        <li>By default, it reads only one sheet.</li>
+        <li>To read multiple sheets, specify the <b>sheet_name</b> parameter with a list of sheet indices.</li>
+    </ul>""", unsafe_allow_html=True)
 
-    - Commonly used for data analysis and reporting.
-    - Supports multiple sheets in a single file.
-    - Easily readable and writable using libraries like `pandas`.
-    """)
-    st.code('df = pd.read_excel("file.xlsx")', language="python")
+    st.code('df = pd.read_excel("path", sheet_name=[0, 1, 2])', language="python")
+
+    st.markdown("""
+    <ul style="font-family: Arial; line-height: 1.6;">
+        <li><b>The Result is a Dictionary</b></li>
+        <li>Keys: Sheet names.</li>
+        <li>Values: DataFrames corresponding to each sheet.</li>
+    </ul>""", unsafe_allow_html=True)
+
+    st.code('df_first_sheet = df[0]  # First sheet\n' 
+            'df_second_sheet = df[1]  # Second sheet\n'
+            'df_third_sheet = df[2]  # Third sheet', language="english")
 
     if st.button("Back to Home"):
         st.session_state['page'] = "home"