'Could anyone tell me why in X, 'time' has a bracket, but in y 'sales' does not need it? They are just the name for different columns. Why different?
from sklearn.linear_model import LinearRegression
df = average_sales.to_frame()
time = np.arange(len(df.index)) # time dummy
df['time'] = time
X = df.loc[:, ['time']] # features
y = df.loc[:, 'sales'] # target
model = LinearRegression()
model.fit(X, y)
y_pred = pd.Series(model.predict(X), index=X.index)
Could anyone tell me why in X, 'time' has a bracket, but in y 'sales' does not need it? They are just the name for different columns. Why different?
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