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

# # My First Data Science Project

# ## Helicopter Escapes!

# We begin by importing some helper functions.

# In[12]:


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 = 'https://en.wikipedia.org/wiki/List_of_helicopter_prison_escapes'


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# Create variable data and assign it result of the url
data = data_from_url(url)


# Let's print the first three rows

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for row in data[:3]:
    print(row)


# ### Removing the Details

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


# ### Extracting the Year

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

print(data[:3])


# ### Attempts Per Year I

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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 year in years:
    attempts_per_year.append([year, 0])
    
print(attempts_per_year)


# ### Attempts Per Year II

# In[23]:


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

print(attempts_per_year)


# ### Attempts Per Year III

# in which year did the most attempts at breaking out of prison with a helicopter occur?

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


# ### Attempts by Country

# In[26]:


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