Ejemplos de load_relevant_data en Python

Ejemplo n.º 1

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)

Ejemplo n.º 2

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)

Ejemplo n.º 3

Archivo: time_series_analysis.py Proyecto: saidulIslam1602/Analytical-PDF-Report-Using-PYTHON-

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)

Ejemplo n.º 4

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)

Ejemplo n.º 5

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)