Countryinfo in Python (Tutorial)

Countryinfo is a Python module that helps to extract information about any country about the properties of that country, including ISO information, states, languages spoken, currencies, and various other information. In this article, I will introduce you to a tutorial on the countryinfo module in Python.

What is Countryinfo in Python?

Countryinfo is a Python module that is very simple to use for every beginner in Python. It is used to get data about any country according to ISO, states, and regions of the country. If you have never used this Python module before then you can easily install it by using the pip command; pip install countryinfo.

The reason why I introduced you to the countryinfo module in Python is that it’s easy to use and it is an open-source module so you can learn some methods about it perfectly and try to contribute to this module to make it better. It also looks good in your resume that you have contributed to a Python module.

Countryinfo in Python (Tutorial)

To contribute to any Python module you should first learn it perfectly to understand how you can contribute to it to make it better. So in this section, I will take you through a tutorial on the countryinfo module in Python. Let’s start by importing it and have a look at some of the methods provided by this module:

from countryinfo import CountryInfo
country = CountryInfo("India")

In the above code, I have set “India” as a country about which I will search by using the countryinfo module in Python. Let’s start by looking at how many names this country is known for other than “India”:

print(country.alt_spellings())
['IN', 'Bhārat', 'Republic of India', 'Bharat Ganrajya']

Now let’s have a look at the capital of this country:

print(country.capital())
New Delhi

We can also look for the currencies used in this country:

print(country.currencies())
['INR']

India is having a lot of languages but still if we use the languages() method it returns Hindi and English. So this is where I feel you can contribute to the countryinfo module in Python to make it better. Let’s use the languages() method to see what it returns:

print(country.languages())
['hi', 'en']

We can also look at the countries that share their borders with India by using the borders() method:

print(country.borders())
['AFG', 'BGD', 'BTN', 'MMR', 'CHN', 'NPL', 'PAK', 'LKA']

Now to see all information that we have about a country in the countryinfo() module we can use the info() method:

data = country.info()
for i, j in data.items():
  print(f"{i}:>>{j}")
name:>>India
altSpellings:>>['IN', 'Bhārat', 'Republic of India', 'Bharat Ganrajya']
area:>>3287590
borders:>>['AFG', 'BGD', 'BTN', 'MMR', 'CHN', 'NPL', 'PAK', 'LKA']
callingCodes:>>['91']
capital:>>New Delhi
capital_latlng:>>[28.614179, 77.202266]
currencies:>>['INR']
demonym:>>Indian
flag:>>
geoJSON:>>{'type': 'FeatureCollection', 'features': [{'type': 'Feature', 'id': 'IND', 'properties': {'name': 'India'}, 'geometry': {'type': 'Polygon', 'coordinates': [[[77.837451, 35.49401], [78.912269, 34.321936], [78.811086, 33.506198], [79.208892, 32.994395], [79.176129, 32.48378], [78.458446, 32.618164], [78.738894, 31.515906], [79.721367, 30.882715], [81.111256, 30.183481], [80.476721, 29.729865], [80.088425, 28.79447], [81.057203, 28.416095], [81.999987, 27.925479], [83.304249, 27.364506], [84.675018, 27.234901], [85.251779, 26.726198], [86.024393, 26.630985], [87.227472, 26.397898], [88.060238, 26.414615], [88.174804, 26.810405], [88.043133, 27.445819], [88.120441, 27.876542], [88.730326, 28.086865], [88.814248, 27.299316], [88.835643, 27.098966], [89.744528, 26.719403], [90.373275, 26.875724], [91.217513, 26.808648], [92.033484, 26.83831], [92.103712, 27.452614], [91.696657, 27.771742], [92.503119, 27.896876], [93.413348, 28.640629], [94.56599, 29.277438], [95.404802, 29.031717], [96.117679, 29.452802], [96.586591, 28.83098], [96.248833, 28.411031], [97.327114, 28.261583], [97.402561, 27.882536], [97.051989, 27.699059], [97.133999, 27.083774], [96.419366, 27.264589], [95.124768, 26.573572], [95.155153, 26.001307], [94.603249, 25.162495], [94.552658, 24.675238], [94.106742, 23.850741], [93.325188, 24.078556], [93.286327, 23.043658], [93.060294, 22.703111], [93.166128, 22.27846], [92.672721, 22.041239], [92.146035, 23.627499], [91.869928, 23.624346], [91.706475, 22.985264], [91.158963, 23.503527], [91.46773, 24.072639], [91.915093, 24.130414], [92.376202, 24.976693], [91.799596, 25.147432], [90.872211, 25.132601], [89.920693, 25.26975], [89.832481, 25.965082], [89.355094, 26.014407], [88.563049, 26.446526], [88.209789, 25.768066], [88.931554, 25.238692], [88.306373, 24.866079], [88.084422, 24.501657], [88.69994, 24.233715], [88.52977, 23.631142], [88.876312, 22.879146], [89.031961, 22.055708], [88.888766, 21.690588], [88.208497, 21.703172], [86.975704, 21.495562], [87.033169, 20.743308], [86.499351, 20.151638], [85.060266, 19.478579], [83.941006, 18.30201], [83.189217, 17.671221], [82.192792, 17.016636], [82.191242, 16.556664], [81.692719, 16.310219], [80.791999, 15.951972], [80.324896, 15.899185], [80.025069, 15.136415], [80.233274, 13.835771], [80.286294, 13.006261], [79.862547, 12.056215], [79.857999, 10.357275], [79.340512, 10.308854], [78.885345, 9.546136], [79.18972, 9.216544], [78.277941, 8.933047], [77.941165, 8.252959], [77.539898, 7.965535], [76.592979, 8.899276], [76.130061, 10.29963], [75.746467, 11.308251], [75.396101, 11.781245], [74.864816, 12.741936], [74.616717, 13.992583], [74.443859, 14.617222], [73.534199, 15.990652], [73.119909, 17.92857], [72.820909, 19.208234], [72.824475, 20.419503], [72.630533, 21.356009], [71.175273, 20.757441], [70.470459, 20.877331], [69.16413, 22.089298], [69.644928, 22.450775], [69.349597, 22.84318], [68.176645, 23.691965], [68.842599, 24.359134], [71.04324, 24.356524], [70.844699, 25.215102], [70.282873, 25.722229], [70.168927, 26.491872], [69.514393, 26.940966], [70.616496, 27.989196], [71.777666, 27.91318], [72.823752, 28.961592], [73.450638, 29.976413], [74.42138, 30.979815], [74.405929, 31.692639], [75.258642, 32.271105], [74.451559, 32.7649], [74.104294, 33.441473], [73.749948, 34.317699], [74.240203, 34.748887], [75.757061, 34.504923], [76.871722, 34.653544], [77.837451, 35.49401]]]}}]}
ISO:>>{'alpha2': 'IN', 'alpha3': 'IND'}
languages:>>['hi', 'en']
latlng:>>[20, 77]
nativeName:>>भारत
population:>>1263930000
provinces:>>['Andaman and Nicobar Islands', 'Andhra Pradesh', 'Arunachal Pradesh', 'Assam', 'Bihar', 'Chandigarh', 'Chhattisgarh', 'Dadra and Nagar Haveli', 'Daman and Diu', 'Delhi', 'Goa', 'Gujarat', 'Haryana', 'Himachal Pradesh', 'Jammu and Kashmir', 'Jharkhand', 'Karnataka', 'Kerala', 'Lakshadweep', 'Madhya Pradesh', 'Maharashtra', 'Manipur', 'Meghalaya', 'Mizoram', 'Nagaland', 'Odisha', 'Puducherry', 'Punjab', 'Rajasthan', 'Sikkim', 'Tamil Nadu', 'Telangana', 'Tripura', 'Uttar Pradesh', 'Uttarakhand', 'West Bengal']
region:>>Asia
subregion:>>Southern Asia
timezones:>>['UTC+05:30']
tld:>>['.in']
translations:>>{'de': 'Indien', 'es': 'India', 'fr': 'Inde', 'ja': 'インド', 'it': 'India'}
wiki:>>http://en.wikipedia.org/wiki/india

Also, Read – Python Projects with Source Code.

Summary

So this is how you can use this module in Python to get information about any country. You can try to contribute to this module as it is open-source and I think it requires some improvements. I hope you liked this article on a tutorial on the countryinfo module in Python. Feel free to ask your valuable questions in the comments section below.

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Aman Kharwal
Coder with the ♥️ of a Writer || Data Scientist | Solopreneur | Founder
Articles: 1054

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