| import pandas as pd | |
| import numpy as np | |
| from tqdm import tqdm | |
| df = pd.read_feather("hupd_metadata_2022-02-22.feather", columns=['application_number', 'filing_date']) | |
| assert df['filing_date'].dt.year.isnull().sum() == 2 | |
| df['year'] = df['filing_date'].dt.year.fillna(2018.0).astype(int) | |
| years = df['year'].value_counts() | |
| print(years) | |
| for year in tqdm(years.index): | |
| df_year_numbers = df['application_number'][df['year'] == year] | |
| df_year_numbers.to_frame().to_csv(f'lists/{year}.txt', sep=' ', index=False, header=False) | |
| print(f'saved {year}') | |