#!/usr/bin/env python
# coding: utf-8

# # Max's First Data Science Project

# ## Helicopter Escapes

# We begin by importing some helper functions

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from helper import *


# ## Get the Data

# Now, let's get the data from the [List of helicopter prison escapes] (https://en.wikipedia.org/wiki/List_of_helicopter_prison_escapes) Wikipedia Article.

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url = str('https://en.wikipedia.org/wiki/List_of_helicopter_prison_escapes')
data = data_from_url(url)


# Let' print the first three rows

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print(data[:3])


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index = 0
for row in data:
    data[index] = row[:-1]
    index = index + 1
print(data[:3])    
    


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for row in data:
    date = fetch_year(row[0])
    row[0] = date
    
print(data[:3])    


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min_year = min(data, key=lambda x: x[0])[0]
max_year = max(data, key=lambda x: x[0])[0]

years = []
for y in range(min_year, max_year + 1):
    years.append(y)
    
attempts_per_year = [] 
for y in years:
    attempts_per_year.append([y, 0])
print(attempts_per_year)    


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for row in data:
    for ya in attempts_per_year:
        y = ya[0]
        if row[0] == y:
            ya[1] += 1
            
print(attempts_per_year)


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get_ipython().run_line_magic('matplotlib', 'inline')
barplot(attempts_per_year)


# 2009, 2007, 2001 and 1986 had the most prison breaks at 3 per year

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countries_frequency = df["Country"].value_counts()
print_pretty_table(countries_frequency)


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