In [1]:

    

%config InlineBackend.figure_format = 'retina'
%matplotlib inline

import numpy as np
import scipy as sp
import matplotlib.pyplot as plt
import pandas as pd

import seaborn as sns
sns.set_style("white")


    

    




C:\Users\Scott\Anaconda2\lib\site-packages\matplotlib\__init__.py:872: UserWarning: axes.color_cycle is deprecated and replaced with axes.prop_cycle; please use the latter.
  warnings.warn(self.msg_depr % (key, alt_key))

In [2]:

    

filename="burrito_current.csv"
df = pd.read_csv(filename)
N = df.shape[0]


    

In [10]:

    

m_best = ['Volume','Cost','Tortilla','Temp','Meat','Fillings','Meat:filling',
               'Uniformity','Salsa','Synergy','Wrap','overall','Google','Yelp']

for m in m_best:
    print m
    print 'High,', df.Location[df[m].idxmax()], df[m][df[m].idxmax()]
    print 'Low,', df.Location[df[m].idxmin()], df[m][df[m].idxmin()]


    

    




Volume
High, Karina's Taco Shop  1.07
Low, Taco stand 0.65
Cost
High, La Perla Cocina 9.99
Low, Oscar's Mexican food 4.85
Tortilla
High, California Burritos 5.0
Low, Lolita's taco shop 1.5
Temp
High, Donato's taco shop 5.0
Low, Tony's Fresh Mexican Food 1.0
Meat
High, Pollos Maria 5.0
Low, Raul's Mexican food 1.0
Fillings
High, Mikes Taco Club 5.0
Low, Raul's Mexican food 1.0
Meat:filling
High, Taco Stand 5.0
Low, Raul's Mexican food 0.5
Uniformity
High, Oscar's Mexican food 5.0
Low, Lolita's taco shop 1.0
Salsa
High, Taco stand 5.0
Low, JV's Mexican Food 0.5
Synergy
High, Taco Stand 5.0
Low, Raul's Mexican food 1.0
Wrap
High, Oscar's Mexican food 5.0
Low, Cancun Mexican & Seafood 0.5
overall
High, California Burritos 5.0
Low, Raul's Mexican food 1.0
Google
High, Lola's 7 Up Market & Deli 4.9
Low, Nico's Taco Shop 2.9
Yelp
High, Taco Stand 4.5
Low, Rigoberto's Taco Shop 2.5