Update excel_handling_guide.ipynb

excel_handling_guide.ipynb

@@ -1,33 +1,91 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "7863cb2b",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.11.5"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
+import streamlit as st
+import pandas as pd
+
+# Inject custom CSS to style the buttons
+st.markdown("""
+    <style>
+    .stButton>button {
+        background-color: #4CAF50;
+        color: white;
+        width: 100%;
+    }
+    </style>
+    """, unsafe_allow_html=True)
+
+def excel_page():
+    st.title(":green[Excel Data Format]")
+
+    # Section 1: What is Excel?
+    st.subheader("1. What is Excel?")
+    st.write("""
+    Excel is a spreadsheet tool for storing data in tabular format with rows and columns. 
+    The data can be in various forms such as numeric values, text, dates, etc. 
+    Excel files are commonly saved with `.xls` or `.xlsx` file extensions. 
+    They are widely used in businesses for data analysis, reporting, and visualization.
+    """)
+
+    # Section 2: How to Read Excel Files
+    st.subheader("2. How to Read Excel Files")
+    st.write("""
+    To read Excel files in Python, the `pandas` library is commonly used. 
+    You can use `pd.read_excel()` function to load the Excel file into a DataFrame.
+    """)
+
+    st.code("""
+import pandas as pd
+
+# Read an Excel file
+df = pd.read_excel('data.xlsx', sheet_name='Sheet1')
+
+# Display the data
+print(df)
+    """, language='python')
+
+    # Section 3: Issues Encountered
+    st.subheader("3. Issues Encountered When Handling Excel Files")
+    st.write("""
+    - **File not found**: If the file path is incorrect or the file does not exist.
+    - **Sheet not found**: If the sheet name specified in `sheet_name` doesn't exist.
+    - **Missing Libraries**: Sometimes, the necessary libraries for reading `.xlsx` files, such as `openpyxl` or `xlrd`, may be missing.
+    """)
+
+    # Section 4: How to Overcome These Errors/Issues
+    st.subheader("4. How to Overcome These Errors/Issues")
+    st.write("""
+    - **File not found**: Make sure the file path is correct.
+    - **Sheet not found**: Verify the sheet name or list all sheet names using `pd.ExcelFile('data.xlsx').sheet_names`.
+    - **Missing Libraries**: Ensure all necessary libraries are installed using pip:
+    ```bash
+    pip install openpyxl xlrd
+    ```
+    - **Handle Missing File Error**: Catch errors using `try` and `except` block.
+    """)
+
+    st.code("""
+# Handling File Not Found Error
+try:
+    df = pd.read_excel('data.xlsx', sheet_name='Sheet1')
+except FileNotFoundError:
+    print("File not found. Check the file path.")
+
+# List available sheet names
+excel_file = pd.ExcelFile('data.xlsx')
+print(excel_file.sheet_names)
+    """, language='python')
+
+    # Section 5: Downloadable Jupyter Notebook/PDF
+    st.write("### Download the Code Example as a Jupyter Notebook or PDF")
+
+    # Create a sample Jupyter notebook for download (for now, it's a basic example)
+    notebook_content = """
+# Excel Handling in Python
+
+## What is Excel?
+Excel is a spreadsheet tool for storing data in tabular format with rows and columns...
+
+## How to Read Excel Files
+```python
+import pandas as pd
+
+df = pd.read_excel('data.xlsx', sheet_name='Sheet1')
+print(df)