TypeError:无法将系列转换为<class 'int'> python
TypeError:无法将系列转换为<class 'int'> python
提问于 2022-05-02 17:49:08
在这个函数中，我试图将一个串联对象转换为一个int对象。但是，当我尝试它时，我总是得到这个错误消息TypeError: cannot convert the series to <class 'int'>。我已经尝试过使用.astype(int)，但结果是一样的。有人能帮我吗？
Ps :当我在"sla()“函数之外执行下面的函数时，它工作得很好
这是将串联类型转换为int类型的函数：
def current_user_section(df,ID):
current_user = df.loc[df["ID"] == ID]
section = int(current_user["SECTION"])
return section投入/产出：
x = current_user_section(users_df,"5DBEF04B")
print(x)
113函数，其中调用"current_user_section“：
def sla(path):
file_with_extension = os.path.split(path)[1] # separa o file path em head e tail, armazenando apenas o tail na variavel
file_name = os.path.splitext(file_with_extension)[0] # retira a extensao/tipo do arquivo do tail, deixando apenas o nome do arquivo
print("Parabens, voce concluiu o tutorial ",file_name,"\n")
section = current_user_data(users_df,ID)[1]
videos = videos_to_watch(section,ID)
if is_list_empty(videos,section,ID) == True: # se tiver vazia vai pedir o ID de novo
print("Nao ha novos tutoriais disponiveis.")
return None,None
else:
print("Deseja continuar assistir a mais um tutorial?\n")
c_s = (input("Digite (s) para sim e (n) para nao: ")).lower()
return c_s,videos输出：
Traceback (most recent call last):
File "d:\Users\raulc\Documents\AMBIENTES\run_videos.py", line 105, in <module>
c_s = sla(path)[0]
File "d:\Users\raulc\Documents\AMBIENTES\run_videos.py", line 71, in sla
section = current_user_section(users_df,ID)
File "d:\Users\raulc\Documents\AMBIENTES\mercedes.py", line 131, in current_user_section
section = int(current_user["SECTION"])
File "D:\Users\raulc\Documents\AMBIENTES\raulenv\lib\site-packages\pandas\core\series.py", line 191, in wrapper
raise TypeError(f"cannot convert the series to {converter}")
TypeError: cannot convert the series to <class 'int'>Stack Overflow用户
发布于 2022-05-02 17:56:24
如果要将Series转换为int，请使用：
def current_user_section(df,ID):
current_user = df.loc[df["ID"] == ID]
section = current_user["SECTION"].astype(int)
return section但也许你想：
def current_user_section(df,ID):
current_user = df.loc[df["ID"] == ID]
section = int(current_user["SECTION"].squeeze())
return section页面原文内容由Stack Overflow提供。腾讯云小微IT领域专用引擎提供翻译支持
原文链接：
https://stackoverflow.com/questions/72090455
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