A basic example
A 2D Plot
Explore mode!
Create a rotating static plot
Using describe_pca to evaluate the integrity of your visualization
Discovering clusters
Generating a legend
Saving a plot
Plotting a Pandas Dataframe
Visualizing the digits dataset
Visualizing the digits dataset using t-SNE
Saving an animation
Hyperalign a list of arrays and create an animated plot
Animated trajectory plotted with multidimensional scaling
Precognition
Aligning matrices to a common space
Labeling your datapoints
Using the cluster function to label clusters
Aligning two matrices with the procrustes function
Grouping data by category
Interpolating missing data with probabalistic PCA
Normalizing your features
Using the missing_inds function to label interpolated values
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