Logit模型基础（含概率图）

def solve():
    import pandas as pd
    import statsmodels.api as sm
    import matplotlib.pyplot as plt
    import numpy as np
    
    df = pd.read_csv(____)
    df = df.dropna()
    X = sm.add_constant(____)
    model = sm.Logit(____).fit(____)
    
    educ_range = np.linspace(df['____'].min(), df['____'].max(), ____)
    X_pred = X.mean().to_frame().T
    X_pred = pd.concat(____)
    X_pred['____'] = educ_range
    probs = model.predict(____)
    
    plt.figure(figsize=(____,____))
    plt.plot(____)
    plt.title(____)
    plt.xlabel(____)
    plt.ylabel(____)
    plt.grid(____)
    plt.tight_layout()
    plt.show()
    
    margeff = model.get_margeff()
    print(____)