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61 lines
2.2 KiB
61 lines
2.2 KiB
from dataflows import Flow, load, unpivot, find_replace, set_type, dump_to_path, update_resource, join, add_computed_field, delete_fields
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BASE_URL = 'https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/'
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CONFIRMED = 'time_series_19-covid-Confirmed.csv'
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DEATH = 'time_series_19-covid-Deaths.csv'
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RECOVERED = 'time_series_19-covid-Recovered.csv'
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def to_normal_date(row):
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old_date = row['Date']
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month, day, year = row['Date'].split('-')
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day = f'0{day}' if len(day) == 1 else day
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month = f'0{month}' if len(month) == 1 else month
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row['Date'] = '-'.join([day, month, year])
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unpivoting_fields = [
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{ 'name': '([0-9]+\/[0-9]+\/[0-9]+)', 'keys': {'Date': r'\1'} }
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]
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extra_keys = [{'name': 'Date', 'type': 'string'} ]
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extra_value = {'name': 'Case', 'type': 'number'}
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Flow(
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load(f'{BASE_URL}{CONFIRMED}'),
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load(f'{BASE_URL}{RECOVERED}'),
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load(f'{BASE_URL}{DEATH}'),
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unpivot(unpivoting_fields, extra_keys, extra_value),
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find_replace([{'name': 'Date', 'patterns': [{'find': '/', 'replace': '-'}]}]),
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to_normal_date,
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set_type('Date', type='date', format='%d-%m-%y', resources=None),
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set_type('Case', type='number', resources=None),
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join(
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source_name='time_series_19-covid-Confirmed',
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source_key=['Province/State', 'Date'],
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source_delete=True,
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target_name='time_series_19-covid-Deaths',
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target_key=['Province/State', 'Date'],
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fields=dict(Confirmed={
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'name': 'Case',
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'aggregate': 'first'
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})
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),
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join(
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source_name='time_series_19-covid-Recovered',
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source_key=['Province/State', 'Date'],
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source_delete=True,
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target_name='time_series_19-covid-Deaths',
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target_key=['Province/State', 'Date'],
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fields=dict(Recovered={
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'name': 'Case',
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'aggregate': 'first'
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})
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),
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add_computed_field(
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target={'name': 'Deaths', 'type': 'number'},
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operation='format',
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with_='{Case}'
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),
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delete_fields(['Case']),
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update_resource('time_series_19-covid-Deaths', name='time-series-19-covid-combined', path='time-series-19-covid-combined.csv'),
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dump_to_path()
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).results()[0]
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