| import os | |
| import pandas as pd | |
| import string | |
| from lib.utilities.labeler import Labeler | |
| from lib.utilities import codebook | |
| class Stata(): | |
| def general_exporter(self,clean_master_df: pd.DataFrame, cb_dict: dict, level_name: str, is_wide: bool): | |
| exportable_df = Labeler(sheet=level_name, is_wide=is_wide, codebook_dict=cb_dict).add_labels_to_df(clean_master_df) | |
| if level_name == "User": | |
| codebook.create_expanded_codebook(exportable_df) | |
| exportable_df = self.remove_bad_chars(exportable_df) | |
| exportable_df = self.stata_reformat(exportable_df) | |
| exportable_df.to_csv(os.path.join("data","external","intermediate", f"PrepAnalysis{level_name}.csv"), | |
| index=False) | |
| print("exported dataframe for stata") | |
| """removes strange chars and converts everything to strings""" | |
| def remove_bad_chars(self, df): | |
| df = df.astype(str).applymap(lambda x: x.strip().replace("\n", "").replace('"', '')) | |
| df = df.applymap(lambda x: ''.join([y for y in x if y in string.printable])) | |
| return df | |
| """export separate csv file for stata analysis | |
| - ensures that each cell takes the first 81 chars | |
| """ | |
| def stata_reformat(self,exportable_master): | |
| stata_export_df = exportable_master.applymap(lambda x: x[0:81]) | |
| return stata_export_df | |