||Load data from [PerezFornos2012]|
load_perezfornos2012(shuffle=False, subjects=None, figures=None, random_state=0)¶
Load data from [PerezFornos2012]
Load the brightness associated with joystick position data described in [PerezFornos2012]. Datapoints were extracted from Figures 3-7 of the paper.
Retinal implants: Argus II Subjects: 9 Number of samples: 45 Number of features: 158
The dataset includes the following features:
Subject Subject ID Figure Reference figure from [PerezFornos2012] time_series Numpy array of the time series data associated with the figure. Note: This was generated by linear interpolation from [-2.0, 75.5] in steps of 0.5
New in version 0.8.
- shuffle (boolean, optional) – If True, the rows of the DataFrame are shuffled.
- random_state (int | numpy.random.RandomState | None, optional) – Determines random number generation for dataset shuffling. Pass an int for reproducible output across multiple function calls.
- subjects (str | list of strings | None, optional) – Select data from a single subject or a list of subjects. By default, all subjects are selected.
- figures (str | list of strings | None, optional) – Select data from a single figure or a list of figures. By default, all figures are selected
data (pd.DataFrame) – The whole dataset is returned in a 45x158 Pandas DataFrame