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babyplots - Easy, fast, interactive 3D visualizations

Babyplots is an easy to use library for creating interactive 3d graphs for exploring and presenting data. This is the python API that allows you to create babyplots visualizations in Jupyter notebooks.

Find the full documentation here.

Install

You can install the babyplots package using pip:

pip install babyplots

Usage

Once imported, you can create a babyplots visualization using the Babyplot class and adding plots to it. To display your visualization, simply call the object:

from babyplots import Babyplot

bp = Babyplot()

bp.add_plot(coordinates, "pointCloud", "categories", clusters, {"colorScale": "Paired"})

bp

Below is a minimal example using the Iris data set:

import numpy as np
from sklearn import decomposition
from sklearn import datasets
from babyplots import Babyplot
np.random.seed(5)

iris = datasets.load_iris()
X = iris.data
y = iris.target

iris = datasets.load_iris()
X = iris.data
y = iris.target

bp_iris = Babyplot(background_color="#262626ff")

bp_iris.add_plot(X, "shapeCloud", "categories", y, {"shape": "sphere", "colorScale": "Set2", "showAxes": [True, True, True], "axisLabels": ["PC 1", "PC 2", "PC 3"]})

bp_iris

You can see this example (and a few more) in a demo notebook here.

Full Documentation

For the complete documentation of babyplots and its python API, please visit https://bp.bleb.li/documentation/python.

Support, Questions, Feedback, ...

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Using babyplots will always be free for everybody. But if you really like it and want to show your appreciation, you may buy us a coffee :)

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Also see:

Libraries used in babyplots:

Author

Babyplots was created by Nils Trost

License

Released under the Apache 2.0 License.

Find the licenses of the included libraries here. Make sure to include this file if you use babyplots in your project.

Metadata

Release files for babyplots 1.7.0

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