Get clean datasets from DataHerb to boost your data science and data analysis projects
A DataHerb Core Service to Create and Load Datasets.
pip install dataherb
The DataHerb Command-Line Tool
Requires Python 3
The DataHerb cli provides tools to create dataset metadata, validate metadata, search dataset in flora, and download dataset.
Search and Download
Search by keyword
dataherb search covid19 # Shows the minimal metadata
Search by dataherb id
dataherb search -i covid19_eu_data # Shows the full metadata
Download dataset by dataherb id
dataherb download covid19_eu_data # Downloads this dataset: http://dataherb.io/flora/covid19_eu_data
Create Dataset Using Command Line Tool
We provide a template for dataset creation.
Within a dataset folder where the data files are located, use the following command line tool to create the metadata template.
Upload dataset to remote
Within the dataset folder, run
UI for all the datasets in a flora
Use DataHerb in Your Code
Load Data into DataFrame
# Load the package from dataherb.flora import Flora # Initialize Flora service # The Flora service holds all the dataset metadata use_flora = "path/to/my/flora.json" dataherb = Flora(flora=use_flora) # Search datasets with keyword(s) geo_datasets = dataherb.search("geo") print(geo_datasets) # Get a specific file from a dataset and load as DataFrame tz_df = pd.read_csv( dataherb.herb( "geonames_timezone" ).get_resource( "dataset/geonames_timezone.csv" ) ) print(tz_df)
The DataHerb Project
What is DataHerb
DataHerb is an open-source data discovery and management tool.
- A DataHerb or Herb is a dataset. A dataset comes with the data files, and the metadata of the data files.
- A Herb Resource or Resource is a data file in the DataHerb.
- A Flora is the combination of all the DataHerbs.
In many data projects, finding the right datasets to enhance your data is one of the most time consuming part. DataHerb adds flavor to your data project. By creating metadata and manage the datasets systematically, locating an dataset is much easier.
Currently, dataherb supports sync dataset between local and S3/git. Each dataset can have its own remote location.
What is DataHerb Flora
We desigined the following workflow to share and index open datasets.
- Create a conda environment.
- Install requirements:
pip install -r requirements.txt
The source of the documentation for this package is located at
References and Acknolwedgement
datapackagein the core.
datapackageis a python library for the data-package standard. The core schema of the dataset is essentially the data-package standard.
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