Sure! I'd be happy to help you with that. Here are the steps and code to merge the data from three spreadsheet reports into one consolidated spreadsheet using Python:

Step 1: Installing Libraries

To perform this task, we will need to use the following libraries:

• pandas: A powerful library for data manipulation and analysis in Python. It provides efficient data structures and operations for working with structured data, including spreadsheets.
• openpyxl: A library for reading and writing Excel files in Python. It allows us to read and write Excel files without installing Microsoft Office or any other software.

You can install these libraries using pip, the package installer for Python. Open a terminal or command prompt and run the following commands:

pip install pandas
pip install openpyxl

Step 2: Preparing the Data

Before we start coding, it's important to ensure that the data is in a suitable format for merging. The data should be in CSV (Comma Separated Values) format, which is a plain text file containing tabular data. Each row represents a single record, and each field within a row is separated by a comma.

Assuming your colleagues have already prepared the data in CSV format, let's proceed to the next step.

Step 3: Writing the Python Code

Here's the Python code to merge the data from three spreadsheet reports into one consolidated spreadsheet:

import pandas as pd
from openpyxl import load_workbook

# Load the balance sheet report
balance_sheet = pd.read_csv('balance_sheet.csv')

# Load the P&L report
pnl = pd.read_csv('pnl.csv')

# Load the budget vs actual report
budget_vs_actual = pd.read_csv('budget_vs_actual.csv')

# Create a new workbook
wb = load_workbook(filename='consolidated_report.xlsx', create_blank=True)

# Create a worksheet for each report
bs_ws = wb.active
pnl_ws = wb.create_worksheet()
budget_vs_actual_ws = wb.create_worksheet()

# Copy the data from the balance sheet report to the first worksheet
bs_ws['A1'] = balance_sheet.iloc[0]
bs_ws['B1'] = balance_sheet.iloc[1]
bs_ws['C1'] = balance_sheet.iloc[2]

# Copy the data from the P&L report to the second worksheet
pnl_ws['A1'] = pnl.iloc[0]
pnl_ws['B1'] = pnl.iloc[1]
pnl_ws['C1'] = pnl.iloc[2]

# Copy the data from the budget vs actual report to the third worksheet
budget_vs_actual_ws['A1'] = budget_vs_actual.iloc[0]
budget_vs_actual_ws['B1'] = budget_vs_actual.iloc[1]
budget_vs_actual_ws['C1'] = budget_vs_actual.iloc[2]

# Save the workbook
wb.save('consolidated_report.xlsx')

Let me explain what each part of the code does:

1. We import the necessary libraries: pandas for data manipulation and openpyxl for working with Excel files.
2. We load the three spreadsheet reports into separate pandas DataFrames using the pd.read_csv() function.
3. We create a new Excel workbook using load_workbook() and specify that we want to create a blank workbook.
4. We create a worksheet for each report using create_worksheet().
5. We copy the data from each DataFrame to its corresponding worksheet using []. We reference the cells in the worksheet using column letters (e.g., 'A', 'B', 'C') and row numbers (e.g., 1, 2, 3).
6. Finally, we save the workbook using save().

That's it! With these instructions and code, your colleagues should now have a consolidated spreadsheet with separate sheets for each report.