How to do a linear regression with variables from a dataframe [Python]

I have two variables A and B in a dataframe. When i try this:

x=df.['A']
y=df.['B']

M = LinearRegression()
M.fit(A,B)

I get the following error

Expected 2D array, got 1D array instead:
array=[86.  0. 86. ...  0.  0.  0.].
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.

Although when i try to apply the reshape as suggested, i got a "’Series’ object has no attribute ‘reshape’"

How can I get around this?

>Solution :

You can try to change x to DataFrame rather than Series.

x = df[['A']]
y = df['B']