fortran-namelist · git:20260424.d50cf5a · 2026-04-24 · sha256 efac5c972337c729
fortran-namelist git:20260424.d50cf5aA
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---
name: fortran-namelist
description: Reading and modifying Fortran namelist configuration files for scientific models
---
# Fortran Namelist Skill
## Overview
Fortran namelists are human-readable configuration files used by many scientific models. They use `§ion` syntax and key=value pairs. Parsing requires careful handling of Fortran syntax quirks.
## File Format
```fortran
§ion_name
parameter1 = value1
parameter2 = value2, value3, value4
array_param = 1, 2, 3, 4, 5
/
```
Key features:
- Sections enclosed with `&name` and `/`
- Each section ends with `/`
- Values can be scalars or comma-separated arrays
- Comments may appear (starting with `!`)
- Spaces and newlines are flexible
## Reading Namelists
### Using f90nml Library (Recommended)
```python
import f90nml
# Read entire namelist
nml = f90nml.read('/path/to/config.nml')
# Access values
kw = nml['light']['Kw']
coef_mix = nml['mixing']['coef_mix_hyp']
# Modify values
nml['light']['Kw'] = 0.35
nml['mixing']['wind_factor'] = 1.1
# Write back
nml.write('/path/to/config.nml', force=True)
```
### Installation
```bash
pip install f90nml
```
### Manual Parsing with Regex
For simple changes without additional dependencies:
```python
import re
def read_nml_parameter(nml_file, section, param):
"""Extract single parameter value from namelist"""
with open(nml_file, 'r') as f:
content = f.read()
# Pattern: find section, then parameter
pattern = (r'&' + section + r'.*?' +
r'(\s+' + param + r'\s*=\s*)' +
r'([^,\n/]+)')
match = re.search(pattern, content, re.DOTALL)
if match:
value_str = match.group(2).strip()
try:
return float(value_str)
except ValueError:
return value_str
return None
def update_nml_parameter(nml_file, section, param, value):
"""Update a parameter in namelist"""
with open(nml_file, 'r') as f:
content = f.read()
# Pattern to find and replace parameter in section
pattern = (r'(&' + section + r'.*?)' +
r'(\s+' + param + r'\s*=\s*)' +
r'([^,\n/]+)')
replacement = r'\g<1>\g<2>' + str(value)
new_content = re.sub(pattern, replacement, content,
count=1, flags=re.DOTALL)
with open(nml_file, 'w') as f:
f.write(new_content)
```
## Working with Arrays
Fortran namelists support array values:
```fortran
&init_profiles
the_depths = 0, 1, 2, 3, 4, 5
the_temps = 5.1, 5.1, 5.0, 4.9, 4.8, 4.7
/
```
### Reading Arrays
```python
import f90nml
nml = f90nml.read('glm3.nml')
depths = nml['init_profiles']['the_depths'] # List
temps = nml['init_profiles']['the_temps'] # List
print(depths[0]) # 0
print(temps[5]) # 4.7
```
### Modifying Arrays
Arrays should not be modified for this task, but if needed:
```python
# Only modify if changing array values entirely
nml['init_profiles']['the_depths'] = [0, 1, 2, 3, 4, 5, 6]
nml['init_profiles']['the_temps'] = [5.1, 5.1, 5.0, 4.9, 4.8, 4.7, 4.6]
```
## Best Practices
1. **Always use f90nml** when available—it handles quirks properly
2. **Make backup** before modifying: `cp glm3.nml glm3.nml.bak`
3. **Validate changes** by reading back after write
4. **Whitespace preservation**: f90nml maintains formatting
5. **Section case**: Fortran is case-insensitive for sections/params
6. **Comments**: f90nml preserves comments during read/write
## Validation Example
```python
import f90nml
# Read original
nml = f90nml.read('glm3.nml')
print(f"Original Kw: {nml['light']['Kw']}")
# Modify
nml['light']['Kw'] = 0.35
nml.write('glm3.nml', force=True)
# Verify change persisted
nml2 = f90nml.read('glm3.nml')
assert nml2['light']['Kw'] == 0.35
print("Verification passed!")
```
## Common Issues
1. **Array syntax**: Use `[...]` in Python, Fortran has `=` with commas
2. **Type mismatch**: Ensure values match expected types (int vs float)
3. **Spacing**: f90nml handles this; manual regex may fail on unexpected spacing
4. **Case sensitivity**: Parameter names are case-insensitive in Fortran