无法从 function 向 pandas dataframe 添加新列

Question

it_json 是包含列表的列，对于 dataframe 中的每一行，我想将列表添加到名为 full 的新列中

def list_columns(df):
    df2=df.copy()
    for index,row in df.iterrows():
        # print(row)
        l=[]
        if row['it_json_1']:
            l+=row['it_json_1']
        if row['it_json_2']:
            l+=row['it_json_2']
        if row['it_json_3']:
            l+=row['it_json_3']
        if row['it_json_4']:
            l+=row['it_json_4']
        df2['full'][index]= l
    return df2

但是 list_columns(df) 给了我关键错误

Answer 1

尝试将值保存到列表中，然后将它们分配给“完整”的新列

 full.append(l)

然后在循环结束后：

 df2['full'] = full

Answer 2

您正在将值分配给尚不存在的列，因此在添加值之前创建一个空列。

def list_columns(df):
df2=df.copy()
for index,row in df.iterrows():
    # print(row)
    l=[]
    l['full'] = np.nan
    if row['it_json_1']:
        l+=row['it_json_1']
    if row['it_json_2']:
        l+=row['it_json_2']
    if row['it_json_3']:
        l+=row['it_json_3']
    if row['it_json_4']:
        l+=row['it_json_4']
    df2['full'][index]= l
return df2