[Python] Error in my_regression.fit(X_train, y_train) Expected a 2-dimensional container but...

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt

my_data2 = pd.read_csv("heart.csv")

type(my_data2)

x = my_data2["trestbps"]
y = my_data2["chol"]

plt.xlabel("Resting Blood Pressure")
plt.ylabel("Cholesterol")

#Create and Display the Plot

plt.plot(x,y,"*")
plt.show()

from sklearn.model_selection import train_test_split

X_train, X_test, y_train, y_test = train_test_split(x,y, test_size = 0.20, random_state = 0)

from sklearn.linear_model import LinearRegression as LNR
from sklearn.metrics import r2_score
type(X_train)

my_regression = LNR()
my_regression.fit(X_train, y_train) #HERE


I got "Expected a 2-dimensional container but got <class 'pandas.core.series.Series'> instead. Pass a DataFrame containing a single row (i.e. single sample) or a single column (i.e. single feature) instead."

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