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February 22, 2021 11:10
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test_11
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| # grab 2020 and 2021 excel tables, extract, reformat and concat | |
| # 2020 | |
| df_s_m_20 = pd.read_csv(zips.extract(scot_20_m_fd), header=2)[:4].T[2:][[0,3]] | |
| df_s_m_20 = df_s_m_20.dropna() | |
| df_s_m_20.columns = ['week_start', 'Deaths'] | |
| df_s_m_20['Week'] = df_s_m_20.index | |
| df_s_m_20['Year'] = 2020 | |
| # 2021 | |
| df_s_m_21 = pd.read_csv(zips.extract(scot_21_m_fd), header=2)[:4].T[2:][[0,3]] | |
| df_s_m_21 = df_s_m_21.dropna() | |
| df_s_m_21.columns = ['week_start', 'Deaths'] | |
| df_s_m_21['Week'] = df_s_m_21.index | |
| df_s_m_21['Year'] = 2021 | |
| # concat, add country and cause | |
| df_s_m = pd.concat([df_s_m_20, df_s_m_21]) | |
| df_s_m['Cause'] = 'COVID Mention' | |
| df_s_m['Country'] = 'Scotland' | |
| df_s_m = df_s_m[['Country', 'Year', 'Week', 'week_start', 'Cause', 'Deaths']] | |
| df_s_m['Week'] = pd.to_numeric(df_s_m['Week']) | |
| df_s_m.tail() |
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