How to use 'logistic regression in python' in Python

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def logistic_regression(w, x):
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    """Logistic regression classifier model.
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    w: Weights w. (n_features,) NumPy array
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    x: Data point x_i. (n_features,) NumPy array
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    -> float in [0, 1]
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    """
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    return scipy.special.expit(numpy.dot(x, w.T))

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def run_logistic_regression(df):
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    # Logistic regression
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    X = df['pageviews_cumsum']
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    X = sm.add_constant(X)
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    y = df['is_conversion']
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    logit = sm.Logit(y, X)
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    logistic_regression_results = logit.fit()
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    print(logistic_regression_results.summary())
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    return logistic_regression_results