pymovements.datasets.toy_dataset.ToyDataset#
- class pymovements.datasets.toy_dataset.ToyDataset(root: str | Path, download: bool = False, extract: bool = False, remove_finished: bool = False, dataset_dirname: str = 'ToyDataset', downloads_dirname: str = 'downloads', raw_dirname: str = 'raw', preprocessed_dirname: str = 'preprocessed', events_dirname: str = 'events')[source]#
pymovements example toy dataset.
This dataset includes monocular eye tracking data from a single participants in a single session. Eye movements are recorded at a sampling frequency of 1000 Hz using an EyeLink Portable Duo video-based eye tracker and are provided as pixel coordinates.
The participant is instructed to read 4 texts with 5 screens each.
Examples
Change to
download=Trueandextract=Truefor downloading and extracting the dataset.>>> dataset = ToyDataset( ... root='data/', ... download=False, ... extract=False, ... remove_finished=False, ... ) >>> dataset.load()
- __init__(root: str | Path, download: bool = False, extract: bool = False, remove_finished: bool = False, dataset_dirname: str = 'ToyDataset', downloads_dirname: str = 'downloads', raw_dirname: str = 'raw', preprocessed_dirname: str = 'preprocessed', events_dirname: str = 'events')[source]
Initialize the pymovements example toy dataset object.
If desired, dataset resources are downloaded with
download=Trueand extracted withextract=True. To save space on your device you can remove the archive files after successful extraction withremove_finished=True.Downloaded archives are automatically checked for integrity by comparing MD5 checksums.
You can set up a custom directory structure by populating the particular dirname attributes. See
dataset_dirname,raw_dirname,preprocessed_dirnameandevents_dirnameanddownloads_dirnamefor details.- Parameters:
root (str, Path) – Path to the root directory of the dataset.
download (bool) – Download all dataset resources.
extract (bool) – Extract dataset archive files.
remove_finished (bool) – Remove archive files after extraction.
dataset_dirname (str, optional) – Dataset directory name under root path. Can be . if dataset is located in root path. Default: .
downloads_dirname (str, optional) – Name of directory to store downloaded data.Default: downloads
str (raw_dirname ;) – Name of directory under dataset path that contains raw data. Can be . if raw data is located in dataset path. We advise the user to keep the original raw data separate from the preprocessed / event data. Default: raw
optional – Name of directory under dataset path that contains raw data. Can be . if raw data is located in dataset path. We advise the user to keep the original raw data separate from the preprocessed / event data. Default: raw
preprocessed_dirname (str, optional) – Name of directory under dataset path that will be used to store preprocessed data. We advise the user to keep the preprocessed data separate from the original raw data. Default: preprocessed
events_dirname (str, optional) – Name of directory under dataset path that will be used to store event data. We advise the user to keep the event data separate from the original raw data. Default: events
Methods
__init__(root[, download, extract, ...])Initialize the pymovements example toy dataset object.
Clear event DataFrame.
compute_event_properties(event_properties[, ...])Calculate an event property for and add it as a column to the event dataframe.
detect_events(method[, eye, clear, verbose])Detect events by applying a specific event detection method.
download()Download dataset.
extract([remove_finished])Extract dataset archives.
Infer information from filepaths and filenames.
load([events, preprocessed, subset, ...])Parse file information and load all gaze files.
load_event_files([events_dirname])Load all available event files.
load_gaze_files([preprocessed, ...])Load all available gaze data files.
pix2deg([verbose])Compute gaze positions in degrees of visual angle from pixel coordinates.
pos2vel([method, verbose])Compute gaze velocites in dva/s from dva coordinates.
save([events_dirname, preprocessed_dirname, ...])Save preprocessed gaze and event files.
save_events([events_dirname, verbose])Save events to files.
save_preprocessed([preprocessed_dirname, ...])Save preprocessed gaze files.
take_subset(fileinfo[, subset])Take a subset of the dataset.
Attributes
downloads_rootpathThe path to the directory of the raw data.
events_rootpathThe path to the directory of the event data.
pathThe path to the dataset directory.
preprocessed_rootpathThe path to the directory of the preprocessed gaze data.
raw_rootpathThe path to the directory of the raw data.
rootThe root path to your dataset.