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April 14, 2017 03:03
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# -*- coding: utf-8 -*- | |
""" | |
Created on Thu Apr 13 21:51:23 2017 | |
@author: ben | |
""" | |
import csv | |
import numpy | |
import matplotlib.pyplot as plt | |
myfile = open('train.csv') | |
myreader = csv.DictReader(myfile) | |
avg_age = 29.5 | |
def get_age(line): | |
if line['Age'] == '': | |
age = avg_age | |
else: | |
age = float(line['Age']) | |
return age | |
def predict(datapoint): | |
# return true or false; a prediction of whether the pass survives | |
age = get_age(datapoint) | |
if datapoint['Sex'] == 'female': | |
if age > 65: | |
return False | |
else: | |
return True | |
else: | |
if age <= 15: | |
return True | |
else: | |
return False | |
predictions = [] | |
true_values = [] | |
#survivor_ages = [] | |
#other_ages = [] | |
males = [] | |
females = [] | |
for line in myreader: | |
mypred = predict(line) | |
predictions.append(mypred) | |
if line['Survived'] == '1': | |
survived = True | |
# survivor_ages.append(get_age(line)) | |
true_values.append(True) | |
else: | |
survived = False | |
# other_ages.append(get_age(line)) | |
true_values.append(False) | |
if line['Sex'] == 'male': | |
males.append(survived) | |
else: | |
females.append(survived) | |
#plt.hist(males, bins=2) | |
#plt.show() | |
#plt.hist(females, bins=2) | |
#plt.show() | |
#print numpy.mean(survivor_ages), numpy.std(survivor_ages) | |
#print numpy.mean(other_ages), numpy.std(other_ages) | |
# | |
#plt.hist(survivor_ages) | |
#plt.show() | |
#plt.hist(other_ages) | |
#plt.show() | |
correct = 0.0 | |
for i in range(len(predictions)): | |
if predictions[i] == true_values[i]: | |
correct += 1 | |
print 'Accuracy: ', (correct/len(predictions)) * 100 |
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#Enter numbers separated by a comma: 1,9,5,11,-2 | |
#Biggest: 11 | |
#Smallest: -2 | |
#Mean: 4.8 | |
#Sorted: [-2,1,5,9,11] | |
def mymean(numbers): | |
return sum(numbers)/float(len(numbers)) | |
#def mymath(a, b, c): | |
# returnn a * b - c | |
def print_info(a): | |
max_value = max(a) | |
print 'Biggest: ', max_value | |
print 'Smallest: ', min(a) | |
print 'Mean: ', mymean(a) | |
print 'Sorted: ', sorted(a) | |
grades = { | |
'ben': [80, 98, 99, 100], | |
'bob': [60, 70, 80], | |
'mary': [89, 75, 100] | |
} | |
for student in grades.keys(): | |
print student | |
print_info(grades[student]) | |
print '' | |
#nums_to_sort = input('Enter your numbers: ') | |
#nums_to_sort = [10, 30, 40, 5] | |
#print_info(nums_to_sort) | |
#mydict = { | |
# 'car': 'a 4 wheeled object for getting you places', | |
# 'truck': 'a 4 wheeled things for trasporting lots of stuff', | |
# 'house': 'a place to live', | |
# 'inner_dict': { | |
# 'cat': 'another furry friend' | |
# } | |
#} | |
# | |
#mydict['dog'] = 'a furry 4 legged friend' | |
#mydict['car'] = 'something with 4 wheels' | |
# | |
#print 'dog' in mydict | |
#print 'turtle' in mydict |
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