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

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


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data = data_from_url(url)


# Let's print the first three rows

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


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index = 0


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for row in data:
    data[index] = row[:-1]
    index += 1
print(data[:5])


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

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]


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

print(years)


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attempts_per_year = []
for year in years:
    model_list = [year , 0]
    attempts_per_year.append(model_list)

print(attempts_per_year)


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

print(attempts_per_year)


# 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)


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


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print_pretty_table(countries_frequency)


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