hots.init
Provide stuff for initialization step (load DataFrames, global variables)
- hots.init.build_df_from_containers(df_indiv)[source]
Build the df_host from containers df.
- Parameters:
df_indiv (pd.DataFrame) – _description_
- Returns:
_description_
- Return type:
pd.DataFrame
- hots.init.define_globals(p_path, config)[source]
Define the fields, as global variables, from config.
- Parameters:
p_path (Path) – _description_
config (Dict) – _description_
- hots.init.df_from_csv(file)[source]
Load DataFrame from CSV file.
- Parameters:
file (Path) – _description_
- Returns:
_description_
- Return type:
pd.DataFrame
- hots.init.init_dfs(data)[source]
Perform CSV files reading in data folder.
- Parameters:
data (str) – _description_
- Returns:
_description_
- Return type:
Tuple[pd.DataFrame, pd.DataFrame, pd.DataFrame]
- hots.init.read_params(path, k, tau, method, cluster_method, param, output_path)[source]
Get parameters from file and build the Dict config object.
- Parameters:
path (str) – _description_
k (int) – _description_
tau (int) – _description_
method (str) – _description_
cluster_method (str) – _description_
param (str) – _description_
output_path (str) – _description_
- Raises:
ValueError – _description_
ValueError – _description_
- Returns:
_description_
- Return type:
Dict