ordinary linear regression & print full results

OLS.py

import pandas
import statsmodels.api as sm
import numpy as np

def print_full(x):
    pandas.set_option('display.max_rows', len(x))
    print(x)
    pandas.reset_option('display.max_rows')

dataframe = pandas.read_csv("turnstile_data_master_with_weather.csv")
dummy_units = pandas.get_dummies(dataframe['UNIT'], prefix='unit')
features = dataframe[['rain', 'precipi', 'Hour', 'meantempi']].join(dummy_units)
values = dataframe[['ENTRIESn_hourly']]
model = sm.OLS(values,features).fit()

# print model.params.shape, features.shape, model.predict().shape
# print model.summary()
# print print_full(model.params)
# print np.inner(features, model.params) == model.predict()
print model.params.tolist()