This project was developed under a previous phase of the Yale Digital Humanities Lab. Now a part of Yale Library’s Computational Methods and Data department, the Lab no longer includes this project in its scope of work. As such, it will receive no further updates.
Transform a distribution of 2D points to a grid that preserves the global distribution shape. Useful for avoiding overplotting in data visualizations.
pip install pointgridfrom pointgrid import align_points_to_grid
from sklearn import datasets
# create fake data
arr, labels = datasets.make_blobs(n_samples=1000, centers=5)
# get updated point positions
updated = align_points_to_grid(arr)updated will be a numpy array with the same shape as the input array arr.