我正在尝试将一个包含其他列信息的列添加到我的数据框中，格式为json对象
我的数据框如下所示：
| col_1| col_2|
|:---- |:------:|
| 1| 1|
|2|2|
然后，我尝试使用以下代码添加json列
```python
for i, row in df.iterrows():
    i_val = row.to_json()
    df.at[i, 'raw_json'] = i_val

<details>
<summary>英文:</summary>
I&#39;m trying add a column to my dataframe that contains the information from the other columns as a json object
My dataframe looks like this:
| col_1| col_2|
|:---- |:------:|
| 1| 1|
|2|2|
I&#39;m then trying to add the json column using the following
```python
    for i, row in df:
        i_val = row.to_json()
        df.at[i,&#39;raw_json&#39;] = i_val

df['raw_json'] = df.to_json(orient='records')
col_1  col_2                                       raw_json
0      1      1  [{"col_1":1,"col_2":1},{"col_1":2,"col_2":2}]
1      2      2  [{"col_1":1,"col_2":1},{"col_1":2,"col_2":2}]

df["raw_json"] = [pd.DataFrame(data=[row], columns=df.columns).to_dict(orient="records")[0] for _, row in df.iterrows()]
print(df)

   col_1  col_2                  raw_json
0      1      1  {'col_1': 1, 'col_2': 1}
1      2      2  {'col_1': 2, 'col_2': 2}