def plot_daily_count_countries(countries=['US'], day=TEST_DATE, mode=Mode.CASES, filename=None): COLUMN = 'Country/Region' df = load_relevant_data(False, mode).groupby(COLUMN).sum().reset_index() plot_data(df, countries, day, mode, COLUMN, filename)
def plot_daily_count_states(states=['Florida'], day=TEST_DATE, mode=Mode.CASES, filename=None): COLUMN = 'Province_State' df = load_relevant_data(True, mode).groupby(COLUMN).sum().reset_index() plot_data(df, states, day, mode, COLUMN, filename)
def plot_states(states=['Massachusetts'], days=7, mode=Mode.CASES, filename=None, end_date=None): COLUMN = 'Province_State' df = load_relevant_data(True, mode).groupby(COLUMN).sum().reset_index() plot_data(df, states, days, mode, COLUMN, filename, end_date)
def plot_usa_case_map(filename=None, day=None): df = load_relevant_data() dates = list(df.columns) df = df.groupby('Province_State')[dates].agg('sum') create_usa_figure(df, filename, day)
def plot_global_case_map(filename=None, day=None): df = load_relevant_data(us_data=False) dates = list(df.columns) df = df.groupby('Country/Region')[dates].agg('sum') create_global_figure(df, filename, day)