gEconpy.model.model.matrix_to_dataframe#

gEconpy.model.model.matrix_to_dataframe(matrix, model, dim1=None, dim2=None, round=None)#

Convert a matrix to a DataFrame with variable names as columns and rows.

Parameters:

matrix: np.ndarray: DSGE matrix to convert to a DataFrame. Each dimension should have shape n_variables or n_shocks.
model: Model: DSGE model object
dim1: str, Optional: Name of the first dimension of the matrix. Must be one of “variable”, “equation”, or “shock”. If None, the function will guess based on the shape of the matrix. In the event that the model has exactly as many variables as shocks, it will guess “variable”, so be careful!
dim2: str, Optional: Name of the second dimension of the matrix. Must be one of “variable”, “equation”, or “shock”. If None, the function will guess based on the shape of the matrix.
round: int, Optional: Number of decimal places to round the values in the DataFrame. If None, values will not be rounded.

Returns: