绘制FICO评分与违约率折线图

def solve():
    from pyodide.http import open_url
    from io import StringIO
    loans_raw_csv = open_url(____).read()
    import pandas as pd
    import matplotlib
    matplotlib.use(____)
    import matplotlib.pyplot as plt
    from io import StringIO
    df = pd.read_csv(StringIO(____))
    df['____'] = (____)/____
    df['____'] = pd.cut(df['____'],bins=range(____,____,____))
    grp = df.groupby(____).agg(count=(____),default_rate=(____)).reset_index()
    grp['____'] = grp['____'].round(____)
    grp['____'] = grp['____'].apply(lambda x: (____)/____)
    print(grp[['____','____','____']].to_string(____))
    fig,ax = plt.subplots(figsize=(____,____))
    ax.plot(____)
    ax.set_xlabel(____); ax.set_ylabel(____); ax.set_title(____)
    plt.tight_layout(); plt.show()