| #!/usr/bin/env python3 | |
| import pandas as pd | |
| import numpy as np | |
| def clean_name(s): | |
| if ', ' in s: | |
| last, first = s.split(", ") | |
| return f"{first.capitalize()} {last.capitalize()}" | |
| return s.title() | |
| def cleaning_data(): | |
| df = pd.read_csv("src/presidents.tsv", sep="\t") | |
| df['Start'] = df['Start'].str.extract('(\d+)', expand=False) | |
| df['Seasons'].replace(["one", "two"], [1, 2], inplace=True) | |
| df['Last'].replace("-", np.nan, inplace=True) | |
| df['President'] = df['President'].apply(clean_name) | |
| df['Vice-president'] = df['Vice-president'].apply(clean_name) | |
| df = df.astype({'President':'object', 'Start':'int', 'Last':'float', 'Seasons':'int', 'Vice-president':'object'}) | |
| return df | |
| def main(): | |
| print(cleaning_data()) | |
| if __name__ == "__main__": | |
| main() | |