df_analyzer.py 文件源码

def general_description(self):
        # General data description:
        # Filename:
        if self._path_file is None:
            file_name = "file with no path"
        else:
            file_name = self._path_file.split('/')[-1]
        # Counting the number of columns:
        row_number = self._df.count()
        # Counting the number of rows:
        col_number = len(self._df.columns)
        # Writting General Description table:
        temp_obj = GeneralDescripTable(file_name, col_number, row_number)
        display(temp_obj)

        data_types = len(set([x[1] for x in self._df.dtypes]))

        return self._create_dict(["filename", "size", "columns", "rows", "datatypes"],
                                 [file_name, 500, col_number, row_number, data_types])

    # Funtion to analize column datatypes, it also plot proportion datatypes and histograms: