mplt_2_popular_languages.py

import csv
from collections import Counter
import pandas as pd
import numpy as np
from matplotlib import pyplot as plt

plt.style.use('fivethirtyeight')

data = pd.read_csv('data/popular_language.csv')
lang_responses = data['LanguagesWorkedWith']

language_counter = Counter()

for response in lang_responses:
    language_counter.update(response.split(';'))

languages = []
popularity = []

for item in language_counter.most_common(15):
    languages.append(item[0])
    popularity.append(item[1])

languages.reverse()
popularity.reverse()

plt.barh(languages, popularity)

plt.title('Most popular languages')
plt.xlabel('Number of people who use')

plt.tight_layout()
plt.show()