Gallery of Examples

A basic example

A basic example

A 2D Plot

A 2D Plot

Discovering clusters

Discovering clusters

Using describe to evaluate the integrity of your visualization

Using describe to evaluate the integrity of your visualization

Generating a legend

Generating a legend

Plotting a Pandas Dataframe

Plotting a Pandas Dataframe

Visualizing the digits dataset

Visualizing the digits dataset

Visualizing the digits dataset using t-SNE

Visualizing the digits dataset using t-SNE

Explore mode!

Explore mode!

Precognition

Precognition

Visualizing the digits dataset using UMAP

Visualizing the digits dataset using UMAP

Chemtrails

Chemtrails

Animated trajectory plotted with multidimensional scaling

Animated trajectory plotted with multidimensional scaling

Create a rotating static plot

Create a rotating static plot

Animated plots

Animated plots

Discovering clusters using HDBSCAN

Discovering clusters using HDBSCAN

Plotting State of the Union Addresses

Plotting State of the Union Addresses

Aligning matrices to a common space

Aligning matrices to a common space

Saving a plot

Saving a plot

Analyze data and then plot

Analyze data and then plot

Defining a custom corpus for plotting text

Defining a custom corpus for plotting text

Aligning two matrices with the procrustes function

Aligning two matrices with the procrustes function

Nested lists and multilevel styling

Nested lists and multilevel styling

Colorbars

Colorbars

Grouping data by category

Grouping data by category

Labeling your datapoints

Labeling your datapoints

Interactive plotting with the plotly backend

Interactive plotting with the plotly backend

Using the cluster function to label clusters

Using the cluster function to label clusters

Saving an animation

Saving an animation

Multicolored lines

Multicolored lines

Density shading

Density shading

Surfaces around point clouds

Surfaces around point clouds

Mixing trail styles per dataset

Mixing trail styles per dataset

Normalizing your features

Normalizing your features

Interpolating missing data with probabalistic PCA

Interpolating missing data with probabalistic PCA

The Datasaurus Dozen

The Datasaurus Dozen

A zoo of 3D shapes

A zoo of 3D shapes

Animated interactive plots (plotly backend)

Animated interactive plots (plotly backend)

Applying models with apply_model

Applying models with apply_model

Working with plot outputs (figures & fitted models)

Working with plot outputs (figures & fitted models)

Using the missing_inds function to label interpolated values

Using the missing_inds function to label interpolated values

Forecasting timeseries with predict

Forecasting timeseries with predict

Soft clustering with mixture models

Soft clustering with mixture models

MultiIndex DataFrames

MultiIndex DataFrames

Fit once, reuse: pipelines and return_model

Fit once, reuse: pipelines and return_model

Imputing missing data: PPCA vs Kalman smoothing

Imputing missing data: PPCA vs Kalman smoothing

Autoencoder reducers

Autoencoder reducers

Morphing through the shapes zoo

Morphing through the shapes zoo

Plotting text

Plotting text

Gensim text models

Gensim text models

Story trajectories: brain activity while listening to a story

Story trajectories: brain activity while listening to a story

A tour of hyp.load’s data sources

A tour of hyp.load's data sources

Morphing hull surfaces through shapes

Morphing hull surfaces through shapes