agridatasets
The agridatasets package provides a curated collection of agricultural, agronomic, and livestock
datasets for data analysis, statistical modeling, and machine learning research. Includes crop yield
trials, soil Munsell mineral classifications, field uniformity experiments, forestry genetics, plant
disease infestations, pesticide efficacy, biological pest controls, dairy cattle and broiler chicken
development tracking, and more from curated R packages on CRAN.
Installation
You can install the agridatasets package from PyPI:
pip install agridatasets
Usage
import agridatasets as agd
# List all available datasets
datasets = agd.list_datasets()
print(datasets)
# Load a specific dataset
df = agd.load_dataset('bamboo_growth')
print(df.head())
# Describe dataset
df_01 = agd.describe('cows_insemination')
print(df_01)
📊 Some Available Datasets
| Dataset | Description |
|---|---|
bamboo_growth |
Bamboo growth observations across different geographic locations and transects. |
cows_insemination |
Cow insemination and conception records across time intervals. |
earthworm_population |
Seasonal earthworm population data, including density and biomass measurements. |
earthworm_crop_soils |
Earthworm density and biomass data from cultivated soils under different crops. |
rabbit_body_mass |
Rabbit body weight and hind foot length measurements. |
Run
agridatasets.list_datasets()oragd.list_datasets()(usingagdas alias) to see the full list of available datasets.
Disclaimer
The datasets included in agridatasets are provided strictly for educational,
research, and informational purposes. All datasets originate from curated R packages
available on CRAN and retain their original licenses and attributions.
The author of agridatasets makes no warranties, express or implied, regarding
the accuracy, completeness, or suitability of any dataset for a particular purpose.
Users are solely responsible for ensuring that their use of these datasets complies
with applicable laws, regulations, and ethical guidelines.
Any findings, conclusions, or decisions derived from the use of these datasets are the sole responsibility of the user. The author shall not be held liable for any direct, indirect, incidental, or consequential damages arising from the use or misuse of the datasets included in this library.
For agronomic advice, crop management, or any agriculture-related decision-making purposes, always consult a qualified agricultural professional or agronomist.
License
The agridatasets library is released under the MIT License, which allows free use,
modification, and distribution. See the LICENSE file for details.
Metadata
Release files for agridatasets 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| agridatasets-0.1.0.tar.gz | 122.9 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| agridatasets-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 245.6 kB
Release files / agridatasets-0.1.0.tar.gz
| Download URL | agridatasets-0.1.0.tar.gz |
|---|---|
| Size | 122.9 kB |
| Tags | Source |
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Release files / agridatasets-0.1.0-py3-none-any.whl
| Download URL | agridatasets-0.1.0-py3-none-any.whl |
|---|---|
| Size | 122.7 kB |
| Tags | Python 3 |
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Security for agridatasets 0.1.0
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