pulse2percept.viz.base¶
correlation_matrix
, scatter_correlation
Functions
correlation_matrix (X[, cols, dropna, ax]) |
Plot feature correlation matrix (requires seaborn) |
scatter_correlation (x, y[, marker, …]) |
Scatter plots some data points and fits a regression curve to them |
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pulse2percept.viz.base.
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.
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pulse2percept.viz.base.
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