I'm trying to create a linear regression in python, but I keep getting the error “Expected 2D array, got 1D array instead:” How do I fix this?

This is the code

%matplotlib inline
import numpy as np
import scipy as sp
import matplotlib.pyplot as plt
import pandas as pd
import sklearn
data = pd.read_csv('C:\\Users\\colew\\2017-18_AdvancedStats_Salary.csv')
data = data.drop(columns = "Player")
data = data.drop(columns = "Salary")
data = data.drop(columns = "Pos")
data = data.drop(columns = "Tm")
from sklearn import linear_model
X = data['VORP']
y = data['WS']
lm = linear_model.LinearRegression()
model = lm.fit(X,y)

This is the error

valueError: Expected 2D array, got 1D array instead:
array=[-0.4 -0.9 -0.1 -0.3 -0.4 -0.5 -0.2 -0.2 -0.8 -0.3 -0.2 -0.8 -1.2 -0.3
-0.5 -0.2 -0.5 -0.4 -0.6  0.  -0.3 -0.5 -0.2 -0.1 -0.3 -0.3 -0.4 -0.1
-0.2 -0.1 -0.2 -0.2 -0.4 -0.2 -0.4 -0.3 -0.1 -0.2 -0.1 -0.1 -0.3 -0.1
-0.1 -0.2 -0.2 -0.2 -0.4 -0.1 -0.1 -0.1 -0.1 -0.1  0.  -0.1 -0.2 -0.2
-0.1 -0.1  0.  -0.1 -0.1 -0.1 -0.2  0.   0.  -0.1 -0.1  0.   0.   0.
 0.   0.   0.   0.   0.1  0.1  0.   0.   0.1  0.1  0.   0.1  0.1  0.
 0.1  0.1  0.1  0.1  0.1  0.1  0.1  0.2  0.1  0.1  0.1  0.   0.1  0.1
 0.1  0.2  0.1  0.2  0.   0.1  0.1  0.2  0.2  0.3  0.2  0.2  0.2  0.3
 0.   0.2  0.1  0.2  0.1  0.2  0.2  0.2  0.2  0.2  0.1  0.3  0.3  0.1
 0.3  0.4  0.2  0.5  0.1  0.4  0.5  0.2  0.5  0.1  0.1  0.2  0.2  0.3
 0.5  0.4  0.6  0.6  0.6  0.4  0.3  0.6  0.4  0.4  0.4  0.2  0.1  0.3
 0.4  0.3  0.7  0.1  0.4  0.4  0.6  0.7  0.4  0.5  0.1  0.3  0.5  0.2
 0.2  0.4  0.7  0.5  0.7  0.8  0.2  0.5  0.7  0.8  0.5  1.   1.   0.8
 0.7  0.8  0.8  1.   0.9  0.8  1.1  0.7  0.8  0.9  0.9  0.5  1.   0.7
 0.9  1.   0.1  0.6  0.6  1.1  1.   0.2  0.8  0.7  1.1  1.   0.7  1.
 0.8  1.2  0.6  0.9  0.9  1.   1.2  1.2  0.6  1.2  0.7  0.8  0.8  0.1
 1.3  0.8  1.   0.9  1.1  0.9  1.2  1.7  1.2  0.1  1.2  0.3  0.4  0.9
 1.2  0.8  1.1  1.9  0.3  1.1  1.2  0.9  0.7  1.8  1.4  1.5  1.8  1.
 1.8  0.3  1.2  1.7  1.2  1.9  0.3  1.   0.7  0.8  1.5  0.4  2.1  1.3
 2.1  1.6  1.9  1.6  0.8  1.5  1.8  0.9  0.6  0.9  1.5  1.5  2.2  2.1
 1.5  2.3  1.3  2.   2.   2.6  0.8  1.2  2.1  0.6  2.7  0.7  2.6  1.9
 2.   1.   2.2  0.8  2.   1.6  1.7  1.3  2.5  0.9  0.5  3.1  2.7  2.4
 2.1  1.9  0.7  1.1  1.3  1.9  2.3  2.4  1.6  3.1  2.5  1.5  2.3  1.
 1.9  2.2  3.5  1.3  3.3  3.3  3.   1.9  3.3  2.3  1.3  2.   2.9  3.4
 2.7  1.3  4.2  4.2  3.6  5.1  4.7  0.8  4.8  1.5  3.3  4.7  4.4  5.4
 4.1  5.7  5.1  4.   7.2  4.4  8.6  8.1].
 Reshape your data either using array.reshape(-1, 1) if your data has a 
 single feature or array.reshape(1, -1) if it contains a single sample.

I'm not sure how to reshape the code. I've tried the following, but I'm left with the same error:

(X, y).reshape(-1, 1)

I also don't know why the output only shows the values of X and not also y.