import sys
sys.path = ['..'] + sys.path
import os
from pandas import DataFrame
from ucc_pandas import UCC
# The Iris Data Set is from the UCI Machine Learning Repository: http://archive.ics.uci.edu/ml/datasets/Iris
df = DataFrame.from_csv("iris.data", header=None, index_col=None, parse_dates=False)
df.columns = ['sepal_length', 'sepal_width', 'petal_length', 'petal_width', 'class']
df = df.dropna()
classNum = [1 if x == 'Iris-setosa' else 2 if x == 'Iris-versicolor' else 3 for x in df['class']]
df['classNum'] = classNum
ucc = UCC(df, columns=['sepal_length', 'sepal_width',
'petal_length', 'petal_width', 'classNum'])
print(ucc.compute_ucc().sort(['ucc'], ascending=False))
import sys
sys.path = ['..'] + sys.path
from pandas import DataFrame, Series
from ucc_pandas import UCC
x = Series(list(range(1, 1001)))
y = (3 * x) + 1
df = DataFrame({'x': x, 'y': y})
ucc = UCC(df)
print(ucc.compute_ucc())