在python中填充日期框

Question

到目前为止，我已经用python创建了一个数据框，如下所示：

     NEG_00_04  NEG_04_08  NEG_08_12  NEG_12_16  NEG_16_20  NEG_20_24  \
datum_von                                                                      
2017-10-10          0          0          0          0          0          0   
2017-10-10          0          0          0          0          0          0   
2017-10-10          0          0          0          0          0          0   
2017-10-10          0          0          0          0          0          0   
2017-10-10          0          0          0          0          0          0   
2017-10-10          0          0          0          0          0          0   
2017-10-10          0          0          0          0          0          0   
2017-10-10          0          0          0          0          0          0   
2017-10-10          0          0          0          0          0          0   
2017-10-10          0          0          0          0          0          0   
2017-10-10          0          0          0          0          0          0   
2017-10-10          0          0          0          0          0          0   
2017-10-11          0          0          0          0          0          0   
2017-10-11          0          0          0          0          0          0

我想用一些操作填充这个数据框。我正在尝试使用以下代码，但它不起作用。

prod = 0
dias = 0
x = 0
for prod in Products:
    for dias in range(len(df_.index)):
        df_.loc['dias']['prod'] = 1

这很简单，但是我不太明白如何使用嵌套循环来填充这个数据frame.Also，我尝试了这个解决方案：

for prod in Products:
    for dias in range(len(df_.index)):
        df_.loc[dias][prod] = 1

我的错误是：**TypeError: cannot do label indexing on <class 'pandas.indexes.base.Index'> with these indexers [0] of <type 'int'>**

**KeyError: 'the label [dias] is not in the [index]'**

Answer 1

我想通了

for prod in Products:
    if k == len(Products):
        break
    for dias in y:
         df_.ix[dias, prod] = 3
    k=k+1