()
return pd.DataFrame.from_dict(parse_solutions(walk_problems()), "index")
Function: load_dataframe
    Summary: Load all solutions of repository at dataframe
    Examples:
        >>> df = load_dataframe()[]
        >>> py = df["Python"]
                            Python
            Problem001      [solution_1.py, solution_2.py]
            Problem002                      [solution_1.py]
            Problem003                      [solution_1.py]
            Problem004                      [solution_1.py]

        If you observe: (index + column_name) <- list_solutions -> filepaths!
    Returns: pd.DataFrame
Function: load_dataframe
    Summary: Load all solutions of repository at dataframe
    Examples:
        >>> df = load_dataframe()[]
        >>> py = df["Python"]
                            Python
            Problem001      [solution_1.py, solution_2.py]
            Problem002                      [solution_1.py]
            Problem003                      [solution_1.py]
            Problem004                      [solution_1.py]
Function : load_dataframe Summary : Load all solutions of repository at dataframe Examples : >>> df = load_dataframe () [] >>> py = df [ Python ] Python Problem001 [ solution_1 . py solution_2 . py ] Problem002 [ solution_1 . py ] Problem003 [ solution_1 . py ] Problem004 [ solution_1 . py ]
def load_dataframe():
    """
    Function: load_dataframe
    Summary: Load all solutions of repository at dataframe
    Examples:
        >>> df = load_dataframe()[]
        >>> py = df["Python"]
                            Python
            Problem001      [solution_1.py, solution_2.py]
            Problem002                      [solution_1.py]
            Problem003                      [solution_1.py]
            Problem004                      [solution_1.py]

        If you observe: (index + column_name) <- list_solutions -> filepaths!
    Returns: pd.DataFrame
    """
    return pd.DataFrame.from_dict(parse_solutions(walk_problems()), "index")
def load_dataframe ( ) : return pd . DataFrame . from_dict ( parse_solutions ( walk_problems ( ) ) , "index" )