dataset-manager 0.0.4

Manage and automatize datasets for data science projects.

Dataset Manager

Manage and automatize your datasets for your project with YAML files.

Create a file name.yaml with content in your dataset directory:

name: your_dataset_name

src: https://raw.githubusercontent.com/pcsanwald/kaggle-titanic/master/train.csv

description: this dataset is a test dataset

format: csv

name: is the name for dataset reference.

src: is location from dataset.

description: describe your dataset to remember later.

format: pandas read format following read_<format> as described here: https://pandas.pydata.org/pandas-docs/stable/reference/io.html.

Each dataset is a YAML file inside dataset directory.

List all Datasets

from dataset_manager import DatasetManager

manager = DatasetManager(dataset_path)

manager.list_datasets() ## return a List with all datasets from dataset path

Get one Dataset

from dataset_manager import DatasetManager

manager = DatasetManager(dataset_path)

manager.get_dataset(name) ## Get dataset as Pandas DataFrame