问参数必须是字符串或数字，而不是'NaTType‘

EN

from sklearn.linear_model import LinearRegression

m = []
b = []
R2 = []

for df in dfs:
    X = df[["sum_PP_LT"]].values
    y = df["MS"].values
    slr = LinearRegression().fit(X, y)
    r_sq = slr.score(X, y)
    R2.append(r_sq)
    b.append(slr.intercept_)
    m.append(slr.coef_)
    #add rand to x y and plot in the loop
    X = X.astype(float)
    x_random = pd.DataFrame(pd.to_numeric(np.random.random_sample(size = len(X))))
    X += x_random
    y = y.astype(float)
    y_random = pd.DataFrame(np.random.random_sample(size = (1, len(y))))
    y += y_random
    df.plot(x = X, y = y, kind = "scatter")
    
    

print("intercept:", b)
print("R2:", R2)

coef_values = []
for i in range(len(m)):
    a = m[i].item()
    coef_values.append(a)
print("slope:", coef_values)