Linear Regression on Pandas DataFrame using Sklearn ( IndexError: tuple index out of range)

Question

I\'m new to Python and trying to perform linear regression using sklearn on a pandas dataframe. This is what I did:

data = pd.read_csv(\'xxxx.csv\')
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Answer 1

I post an answer that addresses exactly the error that you got:

IndexError: tuple index out of range

Scikit-learn expects 2D inputs. Just reshape the X and Y.

Replace:

X=data['c1'].values # this  has shape (XXX, ) - It's 1D
Y=data['c2'].values # this  has shape (XXX, ) - It's 1D
linear_model.LinearRegression().fit(X,Y)

with

X=data['c1'].values.reshape(-1,1) # this  has shape (XXX, 1) - it's 2D
Y=data['c2'].values.reshape(-1,1) # this  has shape (XXX, 1) - it's 2D
linear_model.LinearRegression().fit(X,Y)