pulse2percept.datasets.perezfornos2012

load_perezfornos2012

Functions

load_perezfornos2012([shuffle, subjects, ...])

Load data from [PerezFornos2012]
pulse2percept.datasets.perezfornos2012.load_perezfornos2012(shuffle=False, subjects=None, figures=None, random_state=0)[source]

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

Added in version 0.8.

Parameters:

  • 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

Returns:

data – The whole dataset is returned in a 45x158 Pandas DataFrame

Return type:

pd.DataFrame