Manage and automatize datasets for data science projects.
Project description
Dataset Manager
Manage and automatize your datasets for your project with YAML files.
How it Works
This project create a file called identifier.yaml in your dataset directory with these fields:
source: https://raw.githubusercontent.com/pcsanwald/kaggle-titanic/master/train.csv
description: this dataset is a test dataset
format: csv
identifier: is the identifier for dataset reference is the file name with yaml extension.
source: is location from dataset.
description: describe your dataset to remember later.
Each dataset is a YAML file inside dataset directory.
Installing
With pip just:
pip install dataset_manager
With conda:
conda install dataset_manager
Using
You can manage your datasets with a list of commands and integrate with Pandas or other data analysis tool.
List all Datasets
Return a List with all Datasets from dataset path
from dataset_manager import DatasetManager
manager = DatasetManager(dataset_path)
manager.list_datasets()
Get one Dataset
Get Dataset line as dict
from dataset_manager import DatasetManager
manager = DatasetManager(dataset_path)
manager.get_dataset(identifier)
Create a Dataset
Create a Dataset with every information you want inside dataset_path defined.
from dataset_manager import DatasetManager
manager = DatasetManager(dataset_path)
manager.create_dataset(identifier, source, description, **kwargs)
Remove a Dataset
Remove Dataset from dataset_path
from dataset_manager import DatasetManager
manager = DatasetManager(dataset_path)
manager.remove_dataset(identifier)
Contributing
Just make pull request and be happy!
Let's grow together ;)
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