Run2 openpyxl cross sheet

Editing Excel Workbooks with openpyxl: Cross-Sheet References

Workflow Overview

1. Load existing workbook with load_workbook()
2. Access sheets by name: wb['SheetName']
3. Modify specific cells
4. Save the file
5. Recalculate formulas with external tool (e.g., LibreOffice)

Loading Workbooks

from openpyxl import load_workbook

# Load workbook (preserves ALL formatting, colors, fonts)
wb = load_workbook('file.xlsx')

# Access sheets
task_sheet = wb['Task']
data_sheet = wb['Data']

# List all sheets
sheet_names = wb.sheetnames  # ['Task', 'Data']

Cross-Sheet References in Formulas

Critical: Use ! Syntax, Not .

When writing cross-sheet references in openpyxl formulas:

• Use: =INDEX(Data!$H$21:$M$40, ...) ← Excel/LibreOffice compatible
• Not: =INDEX(Data.$H$21:$M$40, ...) ← Causes #NAME? errors

Correct Sheet Reference Patterns

# Two-condition lookup with cross-sheet reference
formula = "=INDEX(Data!$H$21:$M$40, MATCH($D12, Data!$B$21:$B$40, 0), MATCH(H$9, Data!$H$4:$M$4, 0))"

# Aggregate calculation
formula = "=(SUM(Data!$H$12:$H$17) - SUM(Data!$H$19:$H$24)) / SUM(Data!$H$26:$H$31) * 100"

# Statistical function
formula = "=ROUND(MIN(Data!$H$35:$H$40), 1)"

Cell Reference Anchoring

Copying Formulas with Mixed References

Use $ selectively so references adjust correctly when copying:

# Row absolute, column relative - changes column when copying right
formula = f"=INDEX(Data!$H$21:$M$40, MATCH($D{row}, Data!$B$21:$B$40, 0), MATCH({col_letter}$9, Data!$H$4:$M$4, 0))"

When copied:

• Right (H → I): H$9 becomes I$9 ✓
• Down (12 → 13): $D12 becomes $D13 ✓

Setting Formulas in openpyxl

# Direct cell assignment
sheet['H12'] = "=INDEX(Data!$H$21:$M$40, MATCH($D12, Data!$B$21:$B$40, 0), MATCH(H$9, Data!$H$4:$M$4, 0))"

# Using cell object (equivalent)
sheet.cell(row=12, column=8).value = "=INDEX(...)"

# Multi-cell loop
for row in range(12, 18):
    for col in range(8, 13):  # H-L
        col_letter = chr(64 + col)
        formula = f"=SUM({col_letter}12:{col_letter}17)"
        sheet[f'{col_letter}{row}'] = formula

Formatting Preservation

Automatic Preservation

openpyxl automatically preserves when loading and saving:

• Cell colors and fill patterns (including yellow background)
• Font styles and colors (including blue text)
• Cell borders and alignment
• Number formatting
• Merged cells

# Formatting is preserved automatically
sheet['H12'] = formula  # Yellow background stays yellow
sheet['D9'] = value    # Blue font stays blue

Checking Cell Properties

cell = sheet['H12']
print(cell.fill.start_color.rgb)    # 'FFFFFF00' for yellow
print(cell.font.color.rgb)          # 'FF0000FF' for blue
print(cell.number_format)           # e.g., '0.0' for 1 decimal

Saving and Recalculating

Save Changes

wb.save('file.xlsx')

Recalculate Formulas

openpyxl stores formulas as strings but doesn't calculate them. Use external tool:

# Use LibreOffice to recalculate
python3 recalc.py file.xlsx

# Expected output:
# {
#   "status": "success",
#   "total_formulas": 150,
#   "total_errors": 0
# }

Handling Errors After Recalculation

Common Errors and Fixes

Error	Cause	Fix
#NAME?	Sheet reference wrong (using . instead of !)	Change Data.$H$21 to Data!$H$21
#REF!	Invalid cell reference	Verify range exists and sheet name is correct
#N/A	Value not found in MATCH	Check criteria matches data exactly
#DIV/0!	Division by zero	Add error handling: =IFERROR(formula, 0)

Python Script Pattern

from openpyxl import load_workbook

wb = load_workbook('gdp.xlsx')
task = wb['Task']

# Fill lookup formulas
for row in range(12, 18):
    for col in range(8, 13):  # H-L
        col_letter = chr(64 + col)
        formula = f"=INDEX(Data!$H$21:$M$40, MATCH($D{row}, Data!$B$21:$B$40, 0), MATCH({col_letter}$9, Data!$H$4:$M$4, 0))"
        task[f'{col_letter}{row}'] = formula

# Fill calculation formulas
for col in range(8, 13):
    col_letter = chr(64 + col)
    task[f'{col_letter}42'] = f"=ROUND(MIN({col_letter}35:{col_letter}40), 1)"
    task[f'{col_letter}50'] = f"=ROUND((SUM({col_letter}12:{col_letter}17)-SUM({col_letter}19:{col_letter}24))/SUM({col_letter}26:{col_letter}31)*100, 1)"

wb.save('gdp.xlsx')

Performance Tips

• Batch operations: Loop through ranges instead of individual cells
• Avoid data_only=True during edit: It replaces formulas with values permanently
• Use cell coordinates: A1, H12, L40 notation is clearer than row/column numbers
• Verify before save: Print a few cells to confirm formulas are correct