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.
You can install the babyplots package using pip:
pip install babyplotsOnce 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"})
bpBelow 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_irisYou can see this example (and a few more) in a demo notebook here.
For the complete documentation of babyplots and its python API, please visit https://bp.bleb.li/documentation/python.
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Libraries used in babyplots:
- babyplots_lib, the underlying javascript library
- Babylon.js, the rendering engine
- Chroma.js, the color conversion library
- CCapture.js, for capturing gifs
Babyplots was created by Nils Trost
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.