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sample Python code of running a shuffling and sampling of two populations

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R Shiny code

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R Shiny code

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# http://stackoverflow.com/questions/929103/convert-a-number-range-to-another-range-maintaining-ratio

def new_value(orig_inputs, new_min, new_max, old_value):
    old_min = min(orig_inputs)
    old_max = max(orig_inputs)
    old_range = old_max - old_min
    new_range = new_max - new_min
    new_value = ((old_value - old_min) * new_range / old_range) + new_min
    return  new_value

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import numpy as np
import matplotlib.pyplot as plt
import matplotlib
matplotlib.style.use('ggplot')
%matplotlib inline

# team xref information
team_xref = pd.read_csv('data/team_xref.csv', sep=';')

print team_xref.shape

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def craft_import_match(year, overall, overall_growth, craft, craft_growth, imp, imp_growth):
    print "starting metrics:"
    print "year:", year
    print "overall %d BBLS and %3.3f percent growth" % (overall, overall_growth)
    print "craft %d BBLS & %2.3f percent growth" % (craft, craft_growth)
    print "import %d BBLS & %2.3f percent growth" % (imp, imp_growth)
    print "\nyear\toverall_bbl\tcraft_bbl\timport_bbl"
    
    while craft < imp:
        year += 1

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import numpy as np

def lat_path(x):
    
    grid = (x+1) * (x+1)

    test_m = np.zeros(grid).reshape(x+1, x+1)

    for row in range(x+1):
        for col in range(x+1):

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import csv

dutch_dict = {}

# stop words
with open('stopwords/stopwords_table_wTrans.csv', 'r') as f:
    reader = csv.reader(f)
    reader.next()
    for row in reader:
        dutch_dict[row[1]] = row[5]