hyonschu

import json
import pandas as pd
import matplotlib.pyplot as plt
from sklearn.neighbors.kde import KernelDensity

file_name_business = 'yelp_academic_dataset_business.json'
file_name_checkin = 'yelp_academic_dataset_checkin.json'
file_name_review = 'yelp_academic_dataset_review.json'
file_name_user = 'yelp_academic_dataset_user.json'
def read_data(file_name):

hyonschu

import pickle
import seaborn as sns
import pandas as pd
import numpy as np
from collections import Counter
import matplotlib.pyplot as plt
import pymc as pm

review = pickle.load(open('pickles/review.pkl'))
review['date'] = pd.to_datetime(review['date'])

hyonschu

import pickle
import seaborn as sns
import pandas as pd
import numpy as np
from collections import Counter
import matplotlib.pyplot as plt
import pymc as pm
import math
import pdb

hyonschu

import pickle
import seaborn as sns
import pandas as pd
import numpy as np
from collections import Counter
import matplotlib.pyplot as plt
import pymc as pm
import math
import pdb

hyonschu

import pickle
import seaborn as sns
import pandas as pd
import numpy as np
from collections import Counter
import matplotlib.pyplot as plt
import pymc as pm
import math
import pdb
 

hyonschu

import pickle
import seaborn as sns
import pandas as pd
import numpy as np
from collections import Counter
import matplotlib.pyplot as plt
import pymc as pm
import math
import pdb
 

hyonschu

import pickle
import seaborn as sns
import pandas as pd
import numpy as np
from collections import Counter
import matplotlib.pyplot as plt
import pymc as pm
import math
import pdb
 

hyonschu

import pickle
import seaborn as sns
import pandas as pd
import numpy as np
from collections import Counter
import matplotlib.pyplot as plt
import pymc as pm
import math
import pdb
 

hyonschu

collect=[]
def fib(length):
    first = 1
    second = 1
    if length < 2:
        return length
    else:
        collect = [0,1,1]
        length = length-2
        for i in range(length):

hyonschu

class montymc(object):
	"""
	### VARIABLES ###
	samples = how many trials to run
	simulations = number of simulations of X samples
	doors = number of doors for the game (default: 3)
	switch dictates what the user does after monty opens the door:
	switch = 0, no switching
	switch = 1, always switch
	switch = 2, random