Covid time

Covidtracker

ratio(gb_data, data_depcode, data_ratio_hospitalises, current_date, data_hospitalises, current_date_file, min_value_80p, nbhospitalises_80p)

Creates an updated chart of the ratio of in-hospital deaths to hospitalizations in french departments.

Parameters

• gb_data (dataframe) – dataframe with covid data

• data_depcode (list) – column ‘maille_nom’ of the dataframe

• data_ratio_hospitalises (str) – (gb_data[‘deces’] / (gb_data[‘hospitalises’] + gb_data[‘gueris’])) * 100

:param current_date : gives the maximum date of the dataframe :type current_date : timestamp :param min_value_80p : data_hospitalises.loc[data_hospitalises[data_hospitalises.sort_values(ascending=False).cumsum() <= nbhospitalises_80p].index].min() :type min_value_80p : list :param nbhospitalises_80p : data_hospitalises.sum() * 0.80 :type nbhospitalises_80p : int

Analysis of COVID-19 progression in France

axis_date_limits(axs, min_date=None, max_date=None, format_date=None)

Tailor axis limits

data_preparation(data, maille_code, rows=['t', 'deces', 'deces_ehpad', 'reanimation', 'hospitalises', 'nouvelles_reanimations', 'nouvelles_hospitalisations'], no_negatives=['deces', 'deces_ehpad'])

-Format data -Adds colummns : reanimation_cumul, hospitalises_cumul,reanimation_solde_vivant_jour,reanimation_solde_vivant_jour_jour -Does a rolling average over data of hospitalization, deaths

download_france_data()

Download and merges data from OpenCovid19-fr and data.gouv.fr

enable_time_series_plot(in_df, timein_field='time', timeseries_field_out='date', date_format='%Y-%m-%d')

Small tool to add a field to a dataframe which can be used for time series plotting

plot_field_loops(fra: pandas.core.frame.DataFrame, field: str, smoothing: List[int] = [7, 2, 3], maille_active='', start_date='2020-03-09', end_date=datetime.datetime(2021, 4, 20, 21, 58, 48, 618953), **kwargs)

Plots the day on day delta of a field of ‘fra’ against Args:

fra ([type]): [description] field ([type]): [description] smoothing (list, optional): [description]. Defaults to [7, 2, 3]. maille_active (str, optional): [description]. Defaults to “”. start_date (str, optional): [description]. Defaults to “2020-03-09”. end_date ([type], optional): [description]. Defaults to last_tuesday().

Gifs

adapt_time(data)

Removes the date given with a wrong foramt Changes dates into timestamp format

data_treatment_by_option(data_granu, option)

Adjusts dataframe to set pandas_alive package requirements as arguments Resamples data so we take into acount rows with option =! 0

plot_animation(df_clean, granu, option)

Creates an animation with pandas_alive package. :param df_clean: dataframe with covid data :type gb_data: dataframe :param granu: column ‘maille_nom’ of the dataframe :type granu: list :param option : deces or cas_confirmes :type option : list