---

### 5. **Combining Everything for Full Automation**
- **Automated Reporting**: Combine pandas and xlwings to create monthly or weekly reports.
- **Bulk Processing**: Process multiple Excel files automatically, updating or generating new data based on a template.
- **Data Analysis Pipelines**: Use pandas to clean and prepare data, then save it back to Excel for reporting.

By combining these Python libraries, you can fully automate data processing, reporting, and file generation in Excel.

# Save and close the workbook
wb.save()
wb.close()

#### Example: Creating an Automated Invoice System

python
def generate_invoice(customer_name, items):
wb = xw.Book("invoice_template.xlsx")
sheet = wb.sheets["Invoice"]

# Set customer name and date
sheet.range("B2").value = customer_name
sheet.range("B3").value = pd.Timestamp.now().strftime("%Y-%m-%d")

# Write item details to the invoice
for i, item in enumerate(items, start=6): # Starting from row 6
sheet.range(f"A{i}").value = item['description']
sheet.range(f"B{i}").value = item['quantity']
sheet.range(f"C{i}").value = item['unit_price']
sheet.range(f"D{i}").value = item['quantity'] * item['unit_price']

# Save and print the file
wb.save(f"{customer_name}_invoice.xlsx")
wb.app.quit()

# Sample items list
items = [
{"description": "Item 1", "quantity": 2, "unit_price": 50},
{"description": "Item 2", "quantity": 1, "unit_price": 100}
]
generate_invoice("John Doe", items)
`

#### Example: Manipulating Data and Saving Back to Excel

python

# Perform data operations

df["Total"] = df["Quantity"] * df["Unit Price"]



# Save to a new Excel file

df.to_excel("updated_invoice_data.xlsx", index=False)

---
### 4. **Automating Excel Actions with xlwings**
- **xlwings** allows Python to control Excel just like VBA, which is great for more interactive automation.

#### Example: Running VBA Code from Python
`python
import xlwings as xw

# Open Excel file and access sheet
wb = xw.Book("example.xlsx")
sheet = wb.sheets["Sheet1"]

# Write to Excel using xlwings
sheet.range("A1").value = "Automated Data Entry"

# Execute a VBA macro (if one exists in the workbook)
wb.macro("MyMacroName")()

Example: Creating a New Excel File

python

from openpyxl import Workbook

# Create a new workbook and sheet
wb = Workbook()
sheet = wb.active
sheet.title = "Invoice Data"

# Add data
sheet["A1"] = "Invoice Number"
sheet["B1"] = "Customer Name"
sheet["A2"] = 1001
sheet["B2"] = "John Doe"

# Save workbook
wb.save("new_invoice.xlsx")


### 3. **Data Analysis and Manipulation with Pandas**
- **pandas** is great for reading, manipulating, and writing Excel files, especially for data-heavy tasks.

#### Example: Reading an Excel File into a DataFrame

python

import pandas as pd



# Load the Excel file

df = pd.read_excel("example.xlsx", sheet_name="Sheet1")



# Display data

print(df.head())

Python offers powerful libraries for automating Excel, allowing you to create, modify, and analyze spreadsheets programmatically. Here’s how to use Python to automate Excel tasks with a focus on common libraries like **openpyxl** (for .xlsx files), **pandas** (for data manipulation), and **xlwings** (for automating Excel with VBA-like functionality).

### 1. **Setting Up Your Environment**
- Install the libraries:

bash

 pip install openpyxl pandas xlwings

 

### 2. **Basic Excel Operations with openpyxl**
- **openpyxl** allows you to read and write .xlsx files.

#### Example: Reading and Writing Excel Files

python

import openpyxl



# Load workbook and select sheet

workbook = openpyxl.load_workbook("example.xlsx")

sheet = workbook.active



# Reading a cell value

print(sheet["A1"].value)



# Writing a value to a cell

sheet["B2"] = "Automated Entry"

workbook.save("example_modified.xlsx")

#### Example: Creating a New Excel File

python

from openpyxl import Workbook



# Create a new workbook and sheet

wb = Workbook()

sheet = wb.active

sheet.title = "Invoice Data"

# Add data

sheet["A1"] = "Invoice Number"

sheet["B1"] = "Customer Name"

sheet["A2"] = 1001

sheet["B2"] = "John Doe"



# Save workbook

wb.save("new_invoice.xlsx")