J3 is a cross-platform visualization library for high-dimensional data developed in Java. This Python module provides the ability to launch the J3 application from within Python by either loading a file (e.g., CSV) or viewing an existing Pandas DataFrame or Numpy array. Requires Java 8+.
from j3 import J3
# launch J3 with an empty canvas
J3()
# launch J3 and load the CSV file
J3("input.csv")
# launch J3 and load a Pandas DataFrame
import pandas as pd
df = pd.read_csv("input.csv")
J3(df)In addition to launching J3, this module also handles downloading and installing
J3 (to the ~/.j3 folder) to ensure the user is running the latest version.