DataInfo

DataFrameInfo

class Melodie.data_loader.DataFrameInfo(df_name: str, columns: Dict[str, sqlalchemy.types], file_name: str | None = None, engine: str = 'pandas')

Bases: object

DataFrameInfo provides standard format for input tables as parameters.

Parameters:

df_name – Name of dataframe.
columns – A dict, column name --> column data type.
file_name – File name to load this dataframe, None by default. If None, be sure to generate the dataframe in the DataLoader.
engine – The library used to load this table file. Valid values are “pandas” and “melodie-table”. However, if DataFrameInfo.FORCE_PANDAS was True, Melodie will use "pandas" to load all dataframes.

df_name: Dataframe name.

columns: Data types for dataframe columns when stored into database.

file_name

Name of dataframe file, now it can be an excel file. Other file types will be implemented later.

If None, it indicates this dataframe will be generated by programming.

MatrixInfo

class Melodie.data_loader.MatrixInfo(mat_name: str, data_type: sqlalchemy.types, file_name: str | None = None)

Bases: object

MatrixInfo provides standard format for input matrices as parameters.

Parameters:

mat_name – Name of the current matrix.
columns – A type indicating the data type in the matrix.
file_name – File name to load this dataframe, None by default. If None, be sure to generate the dataframe in the DataLoader.

mat_name: Name of matrix info

data_type: Data type of matrix elements.

file_name

File that storing this matrix.

If None, it indicates this matrix will be generated by programming.