pulse2percept.viz¶
Various visualization functions.
base |
correlation_matrix , scatter_correlation |
argus |
plot_argus_phosphenes , plot_argus_simulated_phosphenes |
-
pulse2percept.viz.
correlation_matrix
(X, cols=None, dropna=True, ax=None)[source]¶ Plot feature correlation matrix (requires seaborn)
New in version 0.7.
Parameters: - X (pd.DataFrame) – Data matrix as a Pandas DataFrame
- cols (list or None) – List of columns to include in the correlation matrix
- dropna ({True, False}) – Flag whether to drop columns or rows with NaN values
- ax (matplotlib.axes.Axes or list thereof; optional, default: None) – A Matplotlib Axes object or a list thereof (one per electrode to plot). If None, a new Axes object will be created.
-
pulse2percept.viz.
plot_argus_phosphenes
(data, argus, scale=1.0, axon_map=None, show_fovea=True, ax=None)[source]¶ Plots phosphenes centered over the corresponding electrodes
New in version 0.7.
Parameters: - data (pd.DataFrame) – The Beyeler2019 dataset, a subset thereof, or a DataFrame with identical organization (i.e., must contain columns ‘subject’, ‘image’, ‘xrange’, and ‘yrange’).
- argus (
ArgusI
orArgusII
) – Either an Argus I or Argus II implant - scale (float) – Scaling factor to apply to the phosphenes
- axon_map (
AxonMapModel
) – An instance of the axon map model to use for visualization. - show_fovea (bool) – Whether to indicate the location of the fovea with a square
- ax (axis) – Matplotlib axis
-
pulse2percept.viz.
plot_argus_simulated_phosphenes
(percepts, argus, scale=1.0, axon_map=None, show_fovea=True, ax=None)[source]¶ Plots simulated phosphenes centered over the corresponding electrodes
New in version 0.7.
Parameters: - percepts (
Percept
) – A Percept object containing multiple frames, where each frame is the percept produced by activating a single electrode. - argus (
ArgusI
orArgusII
) – Either an Argus I or Argus II implant - scale (float) – Scaling factor to apply to the phosphenes
- axon_map (
AxonMapModel
) – An instance of the axon map model to use for visualization. - show_fovea (bool) – Whether to indicate the location of the fovea with a square
- ax (axis) – Matplotlib axis
- percepts (
-
pulse2percept.viz.
scatter_correlation
(x, y, marker='o', marker_size=50, marker_alpha=0.5, color='k', text_size=10, show_slope_intercept=False, ax=None, autoscale=True)[source]¶ Scatter plots some data points and fits a regression curve to them
New in version 0.7.
Parameters: - y (x,) – x, y coordinates of data points to scatter
- marker (str, optional) – Marker style passed to Matplotlib’s
scatter
- marker_size (float or array-like, shape (n, ), optional) – Marker size in points**2 passed to Matplotlib’s
scatter
- marker_alpha (float, optional) – Marker alpha value between 0 and 1
- color (array-like or list of colors or color, optional) – Marker color passed to Matplotlib’s
scatter
- text_size (int, optional) – Font size for inset text and axis labels
- ax (axis, optional) – Matplotlib axis
- autoscale ({True, False}) – Flag whether to automatically adjust the axis limits