Sub-skill of openpyxl: 1. Memory Management (+2).
Scanned 9/9/2026
Install to Claude Code
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---
name: openpyxl-1-memory-management
description: 'Sub-skill of openpyxl: 1. Memory Management (+2).'
version: 1.0.0
category: data
type: reference
scripts_exempt: true
---
# 1. Memory Management (+2)
## 1. Memory Management
```python
"""Best practices for memory-efficient Excel operations."""
# DO: Use write_only mode for large writes
wb = Workbook(write_only=True)
ws = wb.create_sheet()
for row in large_data:
ws.append(row) # Streams directly to file
wb.save('output.xlsx')
# DO: Use read_only mode for large reads
wb = load_workbook('large_file.xlsx', read_only=True)
for row in wb.active.iter_rows(values_only=True):
process_row(row)
wb.close() # Important: close when done
# DON'T: Load entire file into memory unnecessarily
# wb = load_workbook('large_file.xlsx') # Loads all into memory
```
## 2. Style Reuse
```python
"""Reuse styles for better performance."""
from openpyxl.styles import NamedStyle
# DO: Create named styles once, apply many times
header_style = NamedStyle(name="header")
header_style.font = Font(bold=True, color="FFFFFF")
header_style.fill = PatternFill(start_color="4472C4", fill_type="solid")
wb.add_named_style(header_style)
# Apply to multiple cells efficiently
for cell in ws[1]:
cell.style = "header"
# DON'T: Create style objects for each cell
# for cell in ws[1]:
# cell.font = Font(bold=True) # Creates new Font each time
```
## 3. Error Handling
```python
"""Robust error handling for Excel operations."""
from pathlib import Path
import logging
logger = logging.getLogger(__name__)
def safe_save_workbook(wb: Workbook, output_path: str) -> bool:
"""Safely save workbook with error handling."""
try:
# Ensure directory exists
Path(output_path).parent.mkdir(parents=True, exist_ok=True)
# Check if file is locked
if Path(output_path).exists():
try:
Path(output_path).rename(output_path)
except PermissionError:
logger.error(f"File is locked: {output_path}")
return False
wb.save(output_path)
logger.info(f"Workbook saved: {output_path}")
return True
except Exception as e:
logger.exception(f"Failed to save workbook: {e}")
return False
```
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