将earliesCreditLine转为信用历史月数

def solve():
    from pyodide.http import open_url
    from io import StringIO
    loans_raw_csv = open_url(____).read()
    loans_clean_csv = open_url(____).read()
    import pandas as pd
    from datetime import datetime
    from io import StringIO
    df = pd.read_csv(StringIO(____))
    def parse_cl(____):
        try:
            dt=datetime.strptime(str(____),'____')
            return max(____,(____-dt.year)*____+(____-dt.month))
        except:
            return None
    df['____'] = df['____'].apply(____)
    df['____'] = df['____'].fillna(df['____'].median())
    print(df['____'].describe().round(____).to_string())