'How to fix ValueError: Found array with 0 sample(s)

I am really new to python trying to run a linear regression using sklearn, when I try to train the model:

regressIt.fit(X_train, Y_train)

It throws the following exception:

ValueError: Found array with 0 sample(s) (shape=(0, 546)) while a minimum of 1 is required.

What am I doing wrong?

Thanks in Advance.

python-3.x scikit-learn

Solution 1:^[1]

Ok I think I figured it out
X=np.array(X).reshape((-1,1)) Should be this instead of ((1,-1)) Not sure why yet? Y=np.array(Y).reshape((-1,1)) #Also this print(str(regr.predict(X_test)))

Solution 2:^[2]

X_train, X_test, Y_train, Y_test = train_test_split(X, Y, test_size=0.3)
# don't keep the testing data 0 i gave 30% for example,
# for this add the next line in import
from sklearn.model_selection import train_test_split

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Source: Stack Overflow

Solution	Source
Solution 1	RobD
Solution 2	Kadir ?ahbaz

'How to fix ValueError: Found array with 0 sample(s)

Solution 1:[1]

Solution 2:[2]

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