hypertools.tools.
describe_pca
(x, show=True)[source]¶Create plot describing covariance with as a function of number of dimensions
This function correlates the raw data with PCA reduced data to get a sense for how well the data can be summarized with n dimensions. Useful for evaluating quality of PCA reduced plots.
Parameters: | x : Numpy array, DataFrame or list of arrays/dfs
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Returns: | fig, ax, attr : maplotlib.Figure, matplotlib.Axes, dict
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