YB Sample

import pandas as pd

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

from yellowbrick.features import ParallelCoordinates
from sklearn.model_selection import train_test_split
from sklearn.datasets import load_breast_cancer

# Load Breast Cancer Dataset
breast_cancer = load_breast_cancer()

type(breast_cancer)

X = breast_cancer.data
y = breast_cancer.target

# Split the Dataset
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.33, random_state=44)

visualizer = ParallelCoordinates()
visualizer.fit_transform(X_train, y_train)
#visualizer.score(X_test, y_test)
visualizer.poof()