diff --git a/README.md b/README.md index 07feb9e..db78068 100644 --- a/README.md +++ b/README.md @@ -3367,7 +3367,7 @@ continents = pd.read_csv('https://datahub.io/JohnSnowLabs/country-and-continent- df = pd.merge(covid, continents, left_on='iso_code', right_on='Three_Letter_Country_Code') df = df.groupby(['Continent_Name', 'date']).sum().reset_index() df['Total Deaths per Million'] = df.total_deaths * 1e6 / df.population -df = df[('2020-03-14' < df.date) & (df.date < '2020-06-25')] +df = df[('2020-03-14' < df.date) & (df.date < '2020-10-22')] df = df.rename({'date': 'Date', 'Continent_Name': 'Continent'}, axis='columns') line(df, x='Date', y='Total Deaths per Million', color='Continent').show() ``` diff --git a/index.html b/index.html index 42be520..af96c1c 100644 --- a/index.html +++ b/index.html @@ -2858,7 +2858,7 @@ continents = pd.read_csv('https://datahub.io/JohnSnowL df = pd.merge(covid, continents, left_on='iso_code', right_on='Three_Letter_Country_Code') df = df.groupby(['Continent_Name', 'date']).sum().reset_index() df['Total Deaths per Million'] = df.total_deaths * 1e6 / df.population -df = df[('2020-03-14' < df.date) & (df.date < '2020-06-25')] +df = df[('2020-03-14' < df.date) & (df.date < '2020-10-22')] df = df.rename({'date': 'Date', 'Continent_Name': 'Continent'}, axis='columns') line(df, x='Date', y='Total Deaths per Million', color='Continent').show() diff --git a/web/covid_cases.js b/web/covid_cases.js index 3bc9fc4..279db68 100644 --- a/web/covid_cases.js +++ b/web/covid_cases.js @@ -4,6 +4,2818 @@ window.PLOTLYENV=window.PLOTLYENV || {}; if (document.getElementById("e23ccacc-a456-478b-b467-7282a2165921")) { Plotly.newPlot( 'e23ccacc-a456-478b-b467-7282a2165921', - {"data":[{"name":"Dow 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Date=%{x}
Total Deaths per Million=%{y}","legendgroup":"Europe","line":{"color":"#00cc96","dash":"solid"},"mode":"lines","name":"Europe","showlegend":true,"type":"scattergl","x":["2020-03-15","2020-03-16","2020-03-17","2020-03-18","2020-03-19","2020-03-20","2020-03-21","2020-03-22","2020-03-23","2020-03-24","2020-03-25","2020-03-26","2020-03-27","2020-03-28","2020-03-29","2020-03-30","2020-03-31","2020-04-01","2020-04-02","2020-04-03","2020-04-04","2020-04-05","2020-04-06","2020-04-07","2020-04-08","2020-04-09","2020-04-10","2020-04-11","2020-04-12","2020-04-13","2020-04-14","2020-04-15","2020-04-16","2020-04-17","2020-04-18","2020-04-19","2020-04-20","2020-04-21","2020-04-22","2020-04-23","2020-04-24","2020-04-25","2020-04-26","2020-04-27","2020-04-28","2020-04-29","2020-04-30","2020-05-01","2020-05-02","2020-05-03","2020-05-04","2020-05-05","2020-05-06","2020-05-07","2020-05-08","2020-05-09","2020-05-10","2020-05-11","2020-05-12","2020-05-13","2020-05-14","2020-05-15","2020-05-16","2020-05-17","2020-05-18","2020-05-19","2020-05-20","2020-05-21","2020-05-22","2020-05-23","2020-05-24","2020-05-25","2020-05-26","2020-05-27","2020-05-28","2020-05-29","2020-05-30","2020-05-31","2020-06-01","2020-06-02","2020-06-03","2020-06-04","2020-06-05","2020-06-06","2020-06-07","2020-06-08","2020-06-09","2020-06-10","2020-06-11","2020-06-12","2020-06-13","2020-06-14","2020-06-15","2020-06-16","2020-06-17","2020-06-18","2020-06-19","2020-06-20","2020-06-21","2020-06-22","2020-06-23","2020-06-24","2020-06-25","2020-06-26","2020-06-27","2020-06-28","2020-06-29","2020-06-30","2020-07-01","2020-07-02","2020-07-03","2020-07-04","2020-07-05","2020-07-06","2020-07-07","2020-07-08","2020-07-09","2020-07-10","2020-07-11","2020-07-12","2020-07-13","2020-07-14","2020-07-15","2020-07-16","2020-07-17","2020-07-18","2020-07-19","2020-07-20","2020-07-21","2020-07-22","2020-07-23","2020-07-24","2020-07-25","2020-07-26","2020-07-27","2020-07-28","2020-07-29","2020-07-30","2020-07-31","2020-08-01","2020-08-02","2020-08-03","2020-08-04","2020-08-05","2020-08-06","2020-08-07","2020-08-08","2020-08-09","2020-08-10","2020-08-11","2020-08-12","2020-08-13","2020-08-14","2020-08-15","2020-08-16","2020-08-17","2020-08-18","2020-08-19","2020-08-20","2020-08-21","2020-08-22","2020-08-23","2020-08-24","2020-08-25","2020-08-26","2020-08-27","2020-08-28","2020-08-29","2020-08-30","2020-08-31","2020-09-01","2020-09-02","2020-09-03","2020-09-04","2020-09-05","2020-09-06","2020-09-07","2020-09-08","2020-09-09","2020-09-10","2020-09-11","2020-09-12","2020-09-13","2020-09-14","2020-09-15","2020-09-16","2020-09-17","2020-09-18","2020-09-19","2020-09-20","2020-09-21","2020-09-22","2020-09-23","2020-09-24","2020-09-25","2020-09-26","2020-09-27","2020-09-28","2020-09-29","2020-09-30","2020-10-01","2020-10-02","2020-10-03","2020-10-04","2020-10-05","2020-10-06","2020-10-07","2020-10-08","2020-10-09","2020-10-10","2020-10-11","2020-10-12","2020-10-13","2020-10-14","2020-10-15","2020-10-16","2020-10-17","2020-10-18","2020-10-19","2020-10-20","2020-10-21"],"xaxis":"x","y":[2.2635179772724294,2.735989538074929,3.240686637331469,3.950402672519076,4.8078812543717415,5.82672746471789,7.070991930631079,8.734619009105549,10.296720995412365,12.071102719887907,14.267736532242544,16.77817517493356,19.414366488604962,22.65509357836556,25.901589139272044,28.951956681218295,32.44880388985638,36.431356368978335,40.52235610564301,44.83140405162231,51.01866620270315,55.964553363188614,59.587153242807084,63.68392145061765,69.57006940788307,74.28983249944969,79.92678250321269,84.90381940788596,89.0744240463639,92.76393819127469,96.58035870139504,101.66353547515267,107.26010618089445,112.06062786850352,116.5727259988181,120.81832076219261,123.73255238509589,127.13710405539973,131.63189677227666,135.4598542246888,139.002849202494,142.6900559589464,146.1084519600004,147.9566701151433,150.79360422469168,154.31237162368413,157.44926623281873,160.16621614253256,162.66973261984853,164.9632767474541,166.48038465882297,168.3136047889866,170.89903355657415,173.3979352569734,175.45381837336834,177.6712186818482,179.07987933567435,180.2704917801859,181.8118272703675,184.02922757884735,185.74130981494727,187.62183140850718,189.1527836506262,190.51068175836855,191.32749727262646,192.3635146904282,193.9210018998183,195.20390988266405,197.06481867432794,198.1700577458803,199.16454217143163,197.90240068471107,198.91188313524168,199.78869074941687,200.99314752467853,202.09723290200174,203.1205596832825,203.95121952829055,204.5130686179002,205.15567630355224,206.07401690997781,206.98428165679914,207.7157237980979,208.59253141227308,209.3043607516758,209.77506799718037,210.32307275603986,211.16757693179807,211.99246830566022,212.56931542024915,213.21884527127628,213.7703111128233,214.1717967045772,214.61020051166477,215.36240914908873,216.04885721544957,218.20280434132462,218.7877273155178,219.18229074189662,219.53416748179586,219.89988855244525,220.51019279968034,220.975131574039,221.48391072910644,222.0226859341325,222.4818562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Date=%{x}
Total Deaths per Million=%{y}","legendgroup":"North America","line":{"color":"#ab63fa","dash":"solid"},"mode":"lines","name":"North 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def update_file(filename, figure): lines = read_file(filename) - out = lines[:6] + [f' {figure.to_json()}\n', ' )\n', '};\n'] + f_json = figure.to_json(pretty=True).replace('\n', '\n ') + out = lines[:6] + [f' {f_json}\n', ' )\n', '};\n'] write_to_file(filename, out)