如何将以下格式的时间序列数据用于序列预测

Question

我有如下数据，

我希望它采用以下格式

使用Python 3 pandas数据框。

Answer 1

将shift与f-string一起循环使用：

#python 3.6+
for i in range(1,5):
    df[f'demand_{i}'] = df['demand'].shift(-i)

#python bellow 3.6
for i in range(1,5):
    df['demand_{}'.format(i)] = df['demand'].shift(-i)

示例：

df = pd.DataFrame({
         'demand':[4,7,8,3,5,0],

})

for i in range(1,5):
    df['demand_{}'.format(i)] = df['demand'].shift(-i)

print(df)
   demand  demand_1  demand_2  demand_3  demand_4
0       4       7.0       8.0       3.0       5.0
1       7       8.0       3.0       5.0       0.0
2       8       3.0       5.0       0.0       NaN
3       3       5.0       0.0       NaN       NaN
4       5       0.0       NaN       NaN       NaN
5       0       NaN       NaN       NaN       NaN