From 4c4aee2d41c3fbe0dd56a8eb48c5ad5614cb3bff Mon Sep 17 00:00:00 2001 From: anne <24998524+amphinomid@users.noreply.github.com> Date: Fri, 30 Dec 2022 01:41:33 -0600 Subject: [PATCH] Update covid-prisons.py --- covid-prisons.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/covid-prisons.py b/covid-prisons.py index 2a86648..ec25795 100644 --- a/covid-prisons.py +++ b/covid-prisons.py @@ -8,7 +8,7 @@ def load_prison_pop_data(): prison_pop_data = pd.read_csv(PRISON_POP_DATA_URL, names = ['name', 'abbreviation', 'month', 'as_of_date', 'pop'], - usecols = ['name', 'pop', 'as_of_date'], + usecols = ['name', 'as_of_date', 'pop'], skiprows = 1, ) prison_pop_data = prison_pop_data.drop_duplicates(subset = ['name'], keep = 'last') @@ -25,7 +25,7 @@ def load_covid_prison_data(): usecols = ['name', 'total_prisoner_cases', 'total_prisoner_deaths', 'as_of_date'], skiprows = 154, # Relatively recent with relatively few non-reporters (Delaware for cases and Maine and Nevada for deaths) ) - st.write(prison_pop_data) + st.write(prison_pop_data['pop']) covid_prison_data['Prison_CR'] = covid_prison_data['total_prisoner_cases'] * 100000 / prison_pop_data['pop'] covid_prison_data['Prison_MR'] = covid_prison_data['total_prisoner_deaths'] * 100000 / prison_pop_data['pop'] covid_prison_data['Prison_CFR'] = covid_prison_data['total_prisoner_deaths'] * 100000 / covid_prison_data['total_prisoner_cases']