yasa.fetch_sample#
- yasa.fetch_sample(fname, version='v1', **kwargs)[source]#
Download (i.e.,
fetch) a single file, if not already downloaded, from the YASA samples dataset on Zenodo.This function always returns a filename as a
Pathto the local file. It will first check for a local copy of the file and download it if not found.The default location to store the file is in a
yasa/folder in the user’s system-dependent cache directory. (pooch.os_cache("yasa")) If you want to download the file to a different location, you can set theYASA_DATA_DIRenvironment variable to the desired path.- Parameters:
- fnamestr
The name of the file to
fetch. Must be one of the filenames available in the YASA samples dataset. See the Zenodo repo for available filenames.- versionstr, optional
The version string of the dataset to
fetch. Setting this tolatest(default) is equivalent to setting to the latest version string. Must be one of the versions available for the YASA samples dataset. See the Zenodo repo for available versions.- **kwargsdict
Optional keyword arguments passed to
fetch. For example, setprogressbar=Trueto display a progress bar (requirestqdm).
- Returns:
- fpath
pathlib.Path The
Pathto the downloaded file.
- fpath
Examples
>>> import numpy as np >>> import yasa >>> # Get path to local hypnogram file (will download if not already present) >>> fpath = yasa.fetch_sample("night_young_hypno.csv") >>> print(fpath.exists()) True >>> # Load the hypnogram >>> stages_int = np.loadtxt(fpath, skiprows=1, dtype=int) >>> stages_str = yasa.hypno_int_to_str(stages_int) >>> hyp = yasa.Hypnogram(stages_str) >>> print(hyp.hypno.head(3)) Epoch 0 WAKE 1 WAKE 2 WAKE Name: Stage, dtype: category Categories (7, object): ['WAKE', 'N1', 'N2', 'N3', 'REM', 'ART', 'UNS']
You can also set the
YASA_DATA_DIRenvironment variable to a custom location.>>> import os >>> os.environ["YASA_DATA_DIR"] = "~/Desktop/my_yasa_data" >>> fpath = yasa.fetch_sample("night_young_hypno.csv")