from abc import abstractmethod, ABC import pandas as pd class Adapter(ABC): @abstractmethod def read_csv(self): pass @abstractmethod def sort(self, *args, **kwargs): pass @abstractmethod def set_column_value(self, *args, **kwargs): pass @abstractmethod def set_column_values(self, *args, **kwargs): pass @abstractmethod def get_column_name_by_index(self, *args, **kwargs): pass @abstractmethod def get_column_index_by_index(self, *args, **kwargs): pass @abstractmethod def get_columns(self, *args, **kwargs): pass @abstractmethod def drop_colunn_by_name(self, *args, **kwargs): pass @abstractmethod def get_column_values_as_list(self, *args, **kwargs): pass class PandasAdapter: def __init__(self, data_frame): self.__data_frame = data_frame @classmethod def read_csv_data(cls, path): data_frame = pd.read_csv(path) return PandasAdapter(data_frame) def get_column_values(self, column_name): return self.__data_frame[column_name] def get_column_values_as_list(self, column_name): return self.__data_frame[column_name].tolist() def get_columns(self): return self.__data_frame.columns def drop_column_by_index(self, index): column = self.get_column_name_by_index(index) self.__data_frame.drop(columns=[column], inplace=True) def drop_column_by_name(self, name): self.__data_frame.drop(columns=[name], inplace=True) def get_column_index_by_name(self, name): return self.__data_frame.get_loc(name) def get_column_name_by_index(self, index): column_names = self.__data_frame.columns return column_names[index] def set_column_value(self, column_name, value): self.__data_frame[column_name] = value def sort(self, column_name, ascending=True): self.__data_frame.sort_values(by=[column_name], ascending=ascending, inplace=True) def set_column_values(self, column, values): self.__data_frame[column] = values