sleepless.utils.utils_fig_table_df

Concatenate and save a list of figure or table.

Functions

create_df(subset, attributes, bins)	Create a dataframe from a list of Samples and for a list of attributes, if "age" is in attribute, a new column "ageGroup" is added to the dataframe which assign an ageGroup to the patient.
make_rst_tabulate(name, table[, ...])	Create Rst table from pandas.DataFrame.
save_fig(out_path, fig_list[, name])	rtype: None
save_tables(out_path, tables[, name])

sleepless.utils.utils_fig_table_df.create_df(subset, attributes, bins)

Create a dataframe from a list of Samples and for a list of attributes, if “age” is in attribute, a new column “ageGroup” is added to the dataframe which assign an ageGroup to the patient.

For the creation of “ageGroup” column bins has to be a list of int which define the different categories of age.

Parameters:

• subset (list[DelayedSample]) – a list of Samples

• attributes (list[str]) – a list of attribute which are attribute of Samples

• bins (list[int]) – definition of the age categories

Return type:

DataFrame

sleepless.utils.utils_fig_table_df.make_rst_tabulate(name, table, min_column_width=0)

Create Rst table from pandas.DataFrame.

Parameters:

• name (str) – title of the table

• table (DataFrame) – dataframe to be tabulate and save

• min_column_width (int) – fixed a minimum column width

sleepless.utils.utils_fig_table_df.save_fig(out_path, fig_list, name='plot')

Return type:

None

sleepless.utils.utils_fig_table_df.save_tables(out_path, tables, name='tables')