You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
121 lines
4.7 KiB
121 lines
4.7 KiB
#!/usr/bin/env python3
|
|
#
|
|
# Usage: ./update_plots.py
|
|
# Updates plots from the Plotly section so they show the latest data.
|
|
|
|
from pathlib import Path
|
|
from datetime import date, time, datetime, timedelta
|
|
import pandas as pd
|
|
from plotly.express import line
|
|
import plotly.graph_objects as go
|
|
import re
|
|
|
|
|
|
def main():
|
|
print('Updating covid deaths...')
|
|
update_covid_deaths()
|
|
print('Updating covid cases...')
|
|
update_confirmed_cases()
|
|
|
|
|
|
def update_covid_deaths():
|
|
def update_readme(date_treshold):
|
|
lines = read_file(Path('..') / 'README.md')
|
|
out = [re.sub("df.date < '\d{4}-\d{2}-\d{2}'", f"df.date < '{date_treshold}'", line)
|
|
for line in lines]
|
|
write_to_file(Path('..') / 'README.md', out)
|
|
covid = pd.read_csv('https://covid.ourworldindata.org/data/owid-covid-data.csv',
|
|
usecols=['iso_code', 'date', 'total_deaths', 'population'])
|
|
continents = pd.read_csv('https://datahub.io/JohnSnowLabs/country-and-continent-codes-' + \
|
|
'list/r/country-and-continent-codes-list-csv.csv',
|
|
usecols=['Three_Letter_Country_Code', 'Continent_Name'])
|
|
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
|
|
date_treshold = str(date.today() - timedelta(days=2))
|
|
df = df[('2020-03-14' < df.date) & (df.date < date_treshold)]
|
|
df = df.rename({'date': 'Date', 'Continent_Name': 'Continent'}, axis='columns')
|
|
f = line(df, x='Date', y='Total Deaths per Million', color='Continent')
|
|
f.update_layout(margin=dict(t=24, b=0), paper_bgcolor='rgba(0, 0, 0, 0)')
|
|
update_file('covid_deaths.js', f)
|
|
update_readme(date_treshold)
|
|
write_to_png_file('covid_deaths.png', f, width=960, height=340)
|
|
|
|
|
|
def update_confirmed_cases():
|
|
def main():
|
|
df = wrangle_data(*scrape_data())
|
|
f = get_figure(df)
|
|
update_file('covid_cases.js', f)
|
|
write_to_png_file('covid_cases.png', f, width=960, height=315)
|
|
|
|
def scrape_data():
|
|
def scrape_yahoo(id_):
|
|
BASE_URL = 'https://query1.finance.yahoo.com/v7/finance/download/'
|
|
now = int(datetime.now().timestamp())
|
|
url = f'{BASE_URL}{id_}?period1=1579651200&period2={now}&interval=1d&events=history'
|
|
return pd.read_csv(url, usecols=['Date', 'Close']).set_index('Date').Close
|
|
covid = pd.read_csv('https://covid.ourworldindata.org/data/owid-covid-data.csv',
|
|
usecols=['location', 'date', 'total_cases'])
|
|
covid = covid[covid.location == 'World'].set_index('date').total_cases
|
|
dow, gold, bitcoin = [scrape_yahoo(id_) for id_ in ('^DJI', 'GC=F', 'BTC-USD')]
|
|
dow.name, gold.name, bitcoin.name = 'Dow Jones', 'Gold', 'Bitcoin'
|
|
return covid, dow, gold, bitcoin
|
|
|
|
def wrangle_data(covid, dow, gold, bitcoin):
|
|
df = pd.concat([dow, gold, bitcoin], axis=1)
|
|
df = df.sort_index().interpolate()
|
|
df = df.rolling(10, min_periods=1, center=True).mean()
|
|
df = df.loc['2020-02-23':].iloc[:-2]
|
|
df = (df / df.iloc[0]) * 100
|
|
return pd.concat([covid, df], axis=1, join='inner')
|
|
|
|
def get_figure(df):
|
|
def get_trace(col_name):
|
|
return go.Scatter(x=df.index, y=df[col_name], name=col_name, yaxis='y2')
|
|
traces = [get_trace(col_name) for col_name in df.columns[1:]]
|
|
traces.append(go.Scatter(x=df.index, y=df.total_cases, name='Total Cases', yaxis='y1'))
|
|
figure = go.Figure()
|
|
figure.add_traces(traces)
|
|
figure.update_layout(
|
|
yaxis1=dict(title='Total Cases', rangemode='tozero'),
|
|
yaxis2=dict(title='%', rangemode='tozero', overlaying='y', side='right'),
|
|
legend=dict(x=1.1),
|
|
margin=dict(t=24, b=0),
|
|
paper_bgcolor='rgba(0, 0, 0, 0)'
|
|
)
|
|
return figure
|
|
|
|
main()
|
|
|
|
|
|
def update_file(filename, figure):
|
|
lines = read_file(filename)
|
|
f_json = figure.to_json(pretty=True).replace('\n', '\n ')
|
|
out = lines[:6] + [f' {f_json}\n', ' )\n', '};\n']
|
|
write_to_file(filename, out)
|
|
|
|
|
|
###
|
|
## UTIL
|
|
#
|
|
|
|
def read_file(filename):
|
|
p = Path(__file__).resolve().parent / filename
|
|
with open(p, encoding='utf-8') as file:
|
|
return file.readlines()
|
|
|
|
|
|
def write_to_file(filename, lines):
|
|
p = Path(__file__).resolve().parent / filename
|
|
with open(p, 'w', encoding='utf-8') as file:
|
|
file.writelines(lines)
|
|
|
|
|
|
def write_to_png_file(filename, figure, width, height):
|
|
p = Path(__file__).resolve().parent / filename
|
|
figure.write_image(str(p), width=width, height=height)
|
|
|
|
|
|
if __name__ == '__main__':
|
|
main()
|