imhr.Webgazer.metadata¶

Classes

class imhr.Webgazer.metadata.Metadata(isLibrary=False)[source]¶

Bases: object

Process participants metadata for analysis and export.

Methods

Methods

predict(df)	Predicting screen size (cm), device (i.e.
summary(df, path)	Preparing data for use in analysis.

predict(df)	Predicting screen size (cm), device (i.e.
summary(df, path)	Preparing data for use in analysis.

classmethod summary(df, path)[source]¶

Preparing data for use in analysis.

Parameters:	df : str Pandas dataframe of raw data. path : str The directory path of the subject data
Attributes:	path : str Specific directory path used. attr2 : str, optional Description of attr2.
Returns:	df : numpy.ndarray Pandas dataframe of processed metadata.

Notes

You can either get data from all files within a directory (directory), or from a specific subject (subject_session).

Examples

>>> #if using path:
>>> df = getData(path=self.config['path'])

>>> #if getting data for single subject:
>>> df = getData(path=self.config['path'],subject_session=['1099','1', '0'])

classmethod predict(df)[source]¶

Predicting screen size (cm), device (i.e. macbook 2018).

Parameters:	df : numpy.ndarray Pandas dataframe of raw data.
Returns:	df : numpy.ndarray Pandas dataframe of raw data.