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class BloodPressureDataPoint(object):
    def __init__(self, systole, diastole, hr):
        self.systole = systole
        self.diastole = diastole
        self.hr = hr
        print("finished initializing")

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""" Coding Test: Group all the anagrams into sets
"""
def get_unique_anagram_key(anagram):
    anagram = anagram.replace(' ', '')  # Get rid of any spaces
    split_anagram = sorted(list(anagram))
    key = ''.join(split_anagram)
    return key

def group_list_by_anagrams(input_list):

tugloo1

def get_edge_order(sorted_edges, all_nodes):
    set_trackers = {node: set(node) for node in all_nodes}
    edge_order = []
    for edge, _ in sorted_edges:
        node1, node2 = edge[0], edge[1]
        # Case where the nodes already belong to the same set
        if set_trackers[node1] == set_trackers[node2]:
            continue
        else:

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def get_nodes_parent(tree, node_to_evaluate):
    for i, row in enumerate(tree):
        if row[node_to_evaluate] == 1:
            return i
    else:
        return None

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def calculate_path_weight(node, seen_nodes, current_weight):
    # Case when we've seen all the nodes
    if set(seen_nodes) == set(input_graph.keys()):
        return current_weight
    to_return_path_weight = 10000
    for path_node, path_weight in input_graph[node]:
        if path_node not in seen_nodes:
            new_seen_nodes = seen_nodes + [path_node]
            total_path_weight = calculate_path_weight(path_node, new_seen_nodes, current_weight + path_weight)
            if total_path_weight < to_return_path_weight:

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if obs_mean < null_mean:
  pval = 2 * (null_vals < obs_mean).mean()
else:
  pval = 2 * (null_vals > obs_mean).mean()
pval

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from pandas import DataFrame, Series

a = [1, 2, 3, 4]
b = a.append(5)

print(a)
# [1, 2, 3, 4, 5]
print(b)
# None

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selk = SelectKBest(k=5)
dtc = DecisionTreeClassifier(max_depth=6, random_state=42, min_samples_split=3)

pipline_steps = [
	('best_feature', selk),
	('decision_tree', dtc)
]

clf = Pipeline(pipline_steps)

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/System/Library/Frameworks/Python.framework/Versions/2.7/bin/python2.7 /Applications/PyCharmOld.app/Contents/helpers/pydev/pydevd.py --multiproc --qt-support --client 127.0.0.1 --port 54837 --file /Users/piyushgupta/projects/udacityintroML/final_project/poi_id.py
pydev debugger: process 6180 is connecting

Connected to pydev debugger (build 143.2371)
/Library/Python/2.7/site-packages/sklearn/cross_validation.py:41: DeprecationWarning: This module was deprecated in version 0.18 in favor of the model_selection module into which all the refactored classes and functions are moved. Also note that the interface of the new CV iterators are different from that of this module. This module will be removed in 0.20.
  "This module will be removed in 0.20.", DeprecationWarning)
total number of data points:  146
total number of people in dataset:  146
total number of poi:  18
total number of not poi:  128

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import sys
from datetime import date
import quandl

'''sys.argv is a module that has all the inputs of a command line in a list
so for example if you run

python main.py "2018-1-25"
sys.argv would be [main.py', '2018-1-25']