Radviz Sample

import pandas as pd
from yellowbrick.features import RadViz

def load_yb_data(name = 'occupancy'):
    folder_path = name+'/'+name
    return pd.read_csv('/Users/rajacsp/datasets/yb_data/'+(folder_path)+'.csv')

# Load the classification data set
data = load_yb_data("occupancy")

# Specify the features of interest and the classes of the target
features = ["temperature", "relative humidity", "light", "C02", "humidity"]
classes = ["unoccupied", "occupied"]

# Extract the instances and target
X = data[features]
y = data.occupancy

# Instantiate the visualizer
visualizer = RadViz(classes=classes, features=features)

visualizer.fit(X, y)      # Fit the data to the visualizer
visualizer.transform(X)   # Transform the data
visualizer.poof()         # Draw/show/poof the data