Summary

Python code used to generate

import pandas as pd
import requests
import json
import matplotlib.pyplot as plt

api = 'https://wikimedia.org/api/rest_v1/metrics/pageviews/top-by-country/en.wikipedia/all-access/'
headers = {'User-Agent': 'extracting about 75 statistics api calls'}

views = []
for date in pd.date_range(start='2017-01', end='2023-03', freq='MS'):
  resp = requests.get(api + date.strftime('%Y/%m'), headers=headers).text
  total = 0
  for country in json.loads(resp)['items'][0]['countries']:
    if country['country'] in ('US', 'UK'):
      total += country['views_ceil']
  views.append((date, total))

df = pd.DataFrame(views, columns=['month', 'billions'])
df = df.set_index('month')/1e9 # billions

df.plot(ylim=(0, None), title="Monthly US and UK English Wikipedia direct page views")
plt.show()

Licensing

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• to remix – to adapt the work

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https://creativecommons.org/licenses/by-sa/4.0CC BY-SA 4.0 Creative Commons Attribution-Share Alike 4.0 truetrue