"Just draw some data and get on with your day."
This small Python library contains Jupyter widgets that allow you to draw a dataset in a Jupyter notebook. This should be very useful when teaching machine learning algorithms.
The project uses anywidget under the hood so our tools should work in Jupyter, VSCode and Colab. That also means that you get a proper widget that can interact with ipywidgets natively. Here is an example where updating a drawing triggers a new scikit-learn model to train (code).
You can really get creative with this in a notebook, so feel free to give it a spin!
Installation occurs via pip.
python -m pip install drawdata
To read the data, polars is useful, but this library also suppots pandas:
python -m pip install pandas polars
You can load the scatter widget to start drawing immediately.
from drawdata import ScatterWidget
widget = ScatterWidget()
widgetIf 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_polarsIf 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.
from drawdata import BarWidget
widget = BarWidget(collection_names=["usage", "sunshine"], n_bins=24)
widget