Update excel_handling_guide.ipynb

excel_handling_guide.ipynb

@@ -1,91 +1 @@
-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)