# What does numpy reshape(-1 1) mean?

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2 Reshape your data either X.reshape(-1, 1) if your data has a single feature/column and X.reshape(1, -1) if it contains a single sample. If you are getting this error then in this video, I plan to demystify the confusion surrounding numpy reshape (1,-1) function.

I’ll use a simple example to explain what does -1 mean in numpy reshape.

If you do have any questions with what we covered in this video then feel free to ask in the comment section below & I’ll do my best to answer those.

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1. The thing like this is, "I know it adds dimension, but I don't know how it does". Good thing reviewing such basic. Many thanks to your video.

2. I appreciate how you simply explained that stuff. I was stuck in my LSTM project and this content helped me to know what is reshape(-1, 1)

3. Thanks a lot man !! This problem kept kept nagging me for days. You just earned a sub 🙂

4. Thanks for your to the point explanation. It saved a lot of time.

5. provider link of machine learning tutorial playlist in your description will save time for us.

6. Do we need to do the same way for y ?
y = y.reshape(-1,1)

because when I run lr.fit(x,y)
Message show "TypeError: fit() missing 1 required positional argument: 'y'"

7. can we use reshape function in a multi linear regression i.e which has multiple features if we can use can you please share code below how to define for a multi linear regression

8. Hi..While working on SUV dataset, I got the value error when I tried doing feature scaling using StandardScaler post train test split. Error is: "ValueError: Expected 2D array, got 1D array instead:'." How to resolve the issue?
Also, its little weird that when I am running the same code on google colab I am not getting this error. Could you help me understand, why am I getting this error on my jupyter notebook?

9. I am getting an attribute error 'builtin_function_or_method' object has no attribute 'reshape'. What to do?

10. sir what about AttributeError: 'list' object has no attribute 'reshape'

11. thank you, Bhavesh. this is v helpful. one follow up question, why do we only reshape x? why don't reshape both X and y?

12. Please let me know why linear regression function is expecting 2D array or let me know where I can read the reason behind linear regression why it expects 2D array

13. x = x.reshape(len(x), 1) or in this case x = x.reshape(100, 1) will also do the work