Python 属性错误：'；str'；对象没有属性'；尺寸'；

这与我之前的问题有点关联，没有回答，从这里：

我坚持我最初的计划，并继续尝试正确地写下这个for循环。我得到的错误在第4行，上面写着

AttributeError:“str”对象没有属性“size”

基本上，我试图将多个字符串连接到列Full_输入中。我假设现在问题出在

df[“Full_Input”][row]

上，但我不太确定如何正确编写它，这样我的代码才能运行。我尝试了不同的方法，但没有成功——其他错误突然出现

我做错了什么？还有别的方法吗

完整代码：

    df['TitleTag'] = np.nan
for col in range(len(df)):
    condlist = [df['BrandId'][col] != 2, df['BrandId'][col] == 2]
    choicelist = [df['Name'][col] + ' fra ' + df['BrandName'][col], df['Name'][col]]
    df['TitleTag'][col] = np.select(condlist, choicelist)

df['Input1'] = np.nan
for col in range(len(df)):
    condlist = [df['BrandId'][col] != 2, df['BrandId'][col] == 2]
    choicelist = [df['Name'][col] + ' fra ' + df['BrandName'][col], np.nan]
    df['Input1'][col] = np.select(condlist, choicelist)

symbol_list = (['-','=>','|','->'])
df["Input2"] = np.random.choice(symbol_list, size=len(df))

sentence_list = (['Køb online her','Sammenlign priser her','Tjek priser fra 4 butikker','Se produkter fra 4 butikker', 'Stort udvalg fra 4 butikker','Sammenlign og køb'])
df["Input3"] = np.random.choice(sentence_list, size=len(df))


symbol_list2 = (['-','|'])
df["Input4"] = np.random.choice(symbol_list2, size=len(df))

df["Input5"] = "Site.dk"

df["Full_Input"] = df['TitleTag'].astype(str) +  " " + df['Input2'].astype(str) + " " + df['Input3'].astype(str) + " " +  df['Input4'].astype(str) + " " +  df['Input5'].astype(str) 
df["Full_Input_Length"] = df["Full_Input"].apply(len)
for col in range(len(df)):
    while df["Full_Input_Length"][col] >= 55:
        df["Input3"][col] = np.random.choice(sentence_list, size=len(df))
        df["Full_Input"][col] = np.array2string(df['TitleTag'][col]).replace("'","") +  " " + np.array2string(df['Input2'][col]).replace("'","") + " " + np.array2string(df['Input3'][col]).replace("'","") + " " +  np.array2string(df['Input4'][col]).replace("'","") + " " +  np.array2string(df['Input5'][col]).replace("'","") 
        df["Full_Input_Length"][col] = len(df["Full_Input"][col])
        break

---

df['TitleTag'][row]

和您连接的其他变量是什么样子的？

df['TitleTag'][1]Out[179]：数组（'Mineslunder m.ramsløgøko.fra Mineslund'，dtype='
In[181]：np.array2string（df['TitleTag'][col]）。替换（“，”）Out[181]：'Mineslunder m.ramsløgøko.fra Mineslund'
如果单独工作正常，则错误不在代码的那一行。如果您可以粘贴堆栈跟踪和更多代码，可能会有所帮助。我只是注意到在尝试连接它们时出现问题。例如：
np.array2string（df['TitleTag'][col]）。替换（“，”）+np.array2string（df['Input2'][col]）。替换（“，”）
。我将用完整的代码编辑原始帖子。
    df['TitleTag'] = np.nan
for col in range(len(df)):
    condlist = [df['BrandId'][col] != 2, df['BrandId'][col] == 2]
    choicelist = [df['Name'][col] + ' fra ' + df['BrandName'][col], df['Name'][col]]
    df['TitleTag'][col] = np.select(condlist, choicelist)

df['Input1'] = np.nan
for col in range(len(df)):
    condlist = [df['BrandId'][col] != 2, df['BrandId'][col] == 2]
    choicelist = [df['Name'][col] + ' fra ' + df['BrandName'][col], np.nan]
    df['Input1'][col] = np.select(condlist, choicelist)

symbol_list = (['-','=>','|','->'])
df["Input2"] = np.random.choice(symbol_list, size=len(df))

sentence_list = (['Køb online her','Sammenlign priser her','Tjek priser fra 4 butikker','Se produkter fra 4 butikker', 'Stort udvalg fra 4 butikker','Sammenlign og køb'])
df["Input3"] = np.random.choice(sentence_list, size=len(df))


symbol_list2 = (['-','|'])
df["Input4"] = np.random.choice(symbol_list2, size=len(df))

df["Input5"] = "Site.dk"

df["Full_Input"] = df['TitleTag'].astype(str) +  " " + df['Input2'].astype(str) + " " + df['Input3'].astype(str) + " " +  df['Input4'].astype(str) + " " +  df['Input5'].astype(str) 
df["Full_Input_Length"] = df["Full_Input"].apply(len)
for col in range(len(df)):
    while df["Full_Input_Length"][col] >= 55:
        df["Input3"][col] = np.random.choice(sentence_list, size=len(df))
        df["Full_Input"][col] = np.array2string(df['TitleTag'][col]).replace("'","") +  " " + np.array2string(df['Input2'][col]).replace("'","") + " " + np.array2string(df['Input3'][col]).replace("'","") + " " +  np.array2string(df['Input4'][col]).replace("'","") + " " +  np.array2string(df['Input5'][col]).replace("'","") 
        df["Full_Input_Length"][col] = len(df["Full_Input"][col])
        break