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fixed formatting

This commit is contained in:
Claire Simpson 2025-02-05 17:39:06 -07:00
parent 570ecbf2a5
commit 242ed8c5b9
1 changed files with 17 additions and 17 deletions
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34
tests/test_crop_production.py
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@ -80,25 +80,25 @@ def create_nutrient_df():
"""Creates a nutrient DataFrame for testing."""
return pandas.DataFrame([
{'crop': 'corn', 'area (ha)': 21.0, 'production_observed': 0.2,
'percentrefuse': 7, 'protein': 42., 'lipid': 8, 'energy': 476.,
'ca': 27.0, 'fe': 15.7, 'mg': 280.0, 'ph': 704.0, 'k': 1727.0,
'na': 2.0, 'zn': 4.9, 'cu': 1.9, 'fl': 8, 'mn': 2.9, 'se': 0.1,
'vita': 3.0, 'betac': 16.0, 'alphac': 2.30, 'vite': 0.8,
'crypto': 1.6, 'lycopene': 0.36, 'lutein': 63.0, 'betat': 0.5,
'gammat': 2.1, 'deltat': 1.9, 'vitc': 6.8, 'thiamin': 0.4,
'riboflavin': 1.8, 'niacin': 8.2, 'pantothenic': 0.9,
'vitb6': 1.4, 'folate': 385.0, 'vitb12': 2.0, 'vitk': 41.0},
'percentrefuse': 7, 'protein': 42., 'lipid': 8, 'energy': 476.,
'ca': 27.0, 'fe': 15.7, 'mg': 280.0, 'ph': 704.0, 'k': 1727.0,
'na': 2.0, 'zn': 4.9, 'cu': 1.9, 'fl': 8, 'mn': 2.9, 'se': 0.1,
'vita': 3.0, 'betac': 16.0, 'alphac': 2.30, 'vite': 0.8,
'crypto': 1.6, 'lycopene': 0.36, 'lutein': 63.0, 'betat': 0.5,
'gammat': 2.1, 'deltat': 1.9, 'vitc': 6.8, 'thiamin': 0.4,
'riboflavin': 1.8, 'niacin': 8.2, 'pantothenic': 0.9,
'vitb6': 1.4, 'folate': 385.0, 'vitb12': 2.0, 'vitk': 41.0},
{'crop': 'soybean', 'area (ha)': 5., 'production_observed': 4.,
'percentrefuse': 9, 'protein': 33., 'lipid': 2., 'energy': 99.,
'ca': 257., 'fe': 15.7, 'mg': 280., 'ph': 704.0, 'k': 197.0,
'na': 2., 'zn': 4.9, 'cu': 1.6, 'fl': 3., 'mn': 5.2, 'se': 0.3,
'vita': 3.0, 'betac': 16.0, 'alphac': 1.0, 'vite': 0.8,
'crypto': 0.6, 'lycopene': 0.3, 'lutein': 61.0, 'betat': 0.5,
'gammat': 2.3, 'deltat': 1.2, 'vitc': 3.0, 'thiamin': 0.42,
'riboflavin': 0.82, 'niacin': 12.2, 'pantothenic': 0.92,
'vitb6': 5.4, 'folate': 305., 'vitb12': 3., 'vitk': 42.},
]).set_index('crop')
'percentrefuse': 9, 'protein': 33., 'lipid': 2., 'energy': 99.,
'ca': 257., 'fe': 15.7, 'mg': 280., 'ph': 704.0, 'k': 197.0,
'na': 2., 'zn': 4.9, 'cu': 1.6, 'fl': 3., 'mn': 5.2, 'se': 0.3,
'vita': 3.0, 'betac': 16.0, 'alphac': 1.0, 'vite': 0.8,
'crypto': 0.6, 'lycopene': 0.3, 'lutein': 61.0, 'betat': 0.5,
'gammat': 2.3, 'deltat': 1.2, 'vitc': 3.0, 'thiamin': 0.42,
'riboflavin': 0.82, 'niacin': 12.2, 'pantothenic': 0.92,
'vitb6': 5.4, 'folate': 305., 'vitb12': 3., 'vitk': 42.},
]).set_index('crop')
def _create_crop_rasters(output_dir, crop_names, file_suffix):