在使用这段代码后，遇到了 The truth value of a DataFrame is ambiguous.不知道如何解决了

import pandas as pd
from sklearn.linear_model import LinearRegression

X = rideshare_data[["price"]]
y = rideshare_data[["score"]]

reg = LinearRegression()
reg.fit(X, y)
corr = X.corr(y)
print(corr)

ValueError: The truth value of a DataFrame is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().

X = rideshare_data["price"]
y = rideshare_data["score"]