GeoCIF

0.4.556 verified Fri May 01 auth: no python

GeoCIF provides models to visualize and forecast crop conditions and yields. Current version 0.4.556, released on a frequent cadence (multiple versions weekly).

pip install geocif

Common errors

error ModuleNotFoundError: No module named 'geocif.crop_condition' ↓

cause Using outdated import path from older version.

fix

Use correct import: from geocif.models import CropConditionModel

error ValueError: Missing required argument 'year' ↓

cause fetch_agdata called without year parameter after API change in 0.4.0.

fix

Pass year parameter: fetch_agdata(region='us', year=2023)

error AttributeError: module 'geocif.utils' has no attribute 'plot_conditions' ↓

cause plot_conditions was deprecated and removed.

fix

Use geocif.visualization.plot instead.

Warnings

breaking In version 0.4.0, the API for data fetching changed: fetch_agdata now requires explicit region and year parameters; older calls with only 'region' as positional argument fail. ↓

fix Update calls to include both region and year as keyword arguments, e.g., fetch_agdata(region='us', year=2023).

deprecated The function 'geocif.utils.plot_conditions' was deprecated in 0.4.500 and will be removed in 0.5.0. Use 'geocif.visualization.plot' instead. ↓

fix Replace with from geocif.visualization import plot; plot(model_results).

gotcha GeoCIF requires Python >=3.11; installing on Python 3.10 will fail with cryptic distutils errors. ↓

fix Ensure you are using Python 3.11 or later.

Imports

CropConditionModel

wrong

from geocif.crop_condition import CropConditionModel

correct

from geocif.models import CropConditionModel

Older internal module path; models are now under geocif.models

fetch_agdata
wrong
```
import fetch_agdata
```
correct
```
from geocif.data import fetch_agdata
```
Direct import of function without module path fails

Quickstart

Loads agriculture data and runs a crop condition prediction model.

from geocif.models import CropConditionModel
from geocif.data import fetch_agdata
import os

# Optionally set API key via environment variable
api_key = os.environ.get('GEOCIF_API_KEY', '')

# Fetch sample data
data = fetch_agdata(region='us', year=2023, api_key=api_key if api_key else None)

# Initialize and run model
model = CropConditionModel()
result = model.predict(data)
print(result.head())