【已解決】報錯：ValueError: Expected 2D array, got scalar array instead

報錯代碼：

model = LinearRegression(copy_X=True, fit_intercept=True, n_jobs=1, normalize=False)
model.fit(sInfonew['Weight'].values.reshape(-1,1),sInfonew['Height'].values.reshape(-1,1))
y1 = model.predict(55)
y1

報錯結果：

ValueError: Expected 2D array, got scalar array instead:
array=55.
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.

解決辦法：

代碼中加上兩個 [] 即可

y1 = model.predict([[55]])

修改后的代碼為;

model = LinearRegression(copy_X=True, fit_intercept=True, n_jobs=1, normalize=False)
model.fit(sInfonew['Weight'].values.reshape(-1,1),sInfonew['Height'].values.reshape(-1,1))
y1 = model.predict([[55]])
y1

修改之后問題解決！