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

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'''
https://en.wikipedia.org/wiki/List_of_countries_by_population_(United_Nations)
'''
import pandas as pd
import numpy as np
import matplotlib as plt
import matplotlib.pyplot as plt

plt.style.use('ggplot')


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cols = ['Rank', 'Country', 'UN_Continental_region', 'UN_Statistical_region', 
        'Population', 'Population2015', 'percent_change']


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##  There is problem your numeric data contains bad data (strings) or numeric data are converted to str.
##  So first try convert to float or int by astype:
#pop_list['Population'] = pop_list['Population'].astype(float)
##  But if it failed need to_numeric with parameter errors='coerce':
#pop_list['Population'] = pd.to_numeric(pop_list['Population'], errors='coerce')


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pop_list = pd.read_table('country.dat', names=cols)


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#print(type(pop_list))
#pop_list.head()
pop_list.dtypes
#pop_list.describe()


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#pop_list['Population'].plot().hist('Population')
pop_list['Population'].plot().hist(alpha=0.5)
#pop_list.plot.hist(alpha=0.5)
#pop_list.plot.hist('Population')


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plt.show()


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