"Just draw some data and get on with your day."
This small Python library contains widgets that allow you to draw a dataset in a Python notebook. This should be very useful when teaching machine learning algorithms.
For a live demo without installing anything, check out the demo page.
You can really get creative with this in a notebook, so feel free to give it a spin!
Installation occurs via pip.
uv pip install drawdata
You can load the scatter widget to start drawing immediately.
from drawdata import ScatterWidget widget = ScatterWidget() widget
If you want to use the dataset that you've just drawn you can do so via:
# Get the drawn data as a list of dictionaries widget.data # Get the drawn data as a dataframe widget.data_as_pandas widget.data_as_polars
If you're eager to do scikit-learn stuff with your drawn data you may appreciate this property instead:
X, y = widget.data_as_X_y
The assumption for this property is that if you've used multiple colors that you're interested in doing classification and if you've only drawn one color you're interested in regression. In the case of regression y will refer to the y-axis.
The project uses anywidget under the hood so our tools should work in marimo, Jupyter, VSCode and Colab. You could use this to even interact with ipywidgets natively. Here is an example where updating a drawing triggers a new scikit-learn model to train (code).