1回答 TypeError:“int”对象不可订阅,在读取csv文件时使标头= None 、 一旦我添加header = None,我就会得到错误TypeError: 'int' object is not subscriptable。对于如何在不从读取器中删除header = None的情况下解决这个问题,有什么帮助吗?reader = pd.read_csv('counts.csv', header = None) y3 = [] la...
a composite type contains anIntegerresults inStatementError: (builtins.TypeError) 'int' object is not subscriptable a composite type contains aText, but one of the values is one-character long results inStatementError: (builtins.IndexError) string index out of range Note that if the composite t...
pandas dataframe遍历时数据类型为float无法遍历 报错:TypeError: 'float' object is not subscriptable https://www.delftstack.com/zh/howto/python-pandas/how-to-convert-float-to-int-in-pandas-dataframe/ 转化为int之后,再用列表填充,遍历列表 k2 = pd.to_numeric(stock_a_all_pb_df.values[-1, 1:],...
我使用以下语法:不幸的是,我得到了TypeError: 'method' object is not subscriptable。 浏览6提问于2016-08-09得票数 6 2回答 使用pandas对csv文件中的datetime列进行索引 、 我想使用pandas对csv文件中包含datetime类型的列进行切片。Afghanistan,Mohammad Shahzad,118,97.52,16-02-2010,Tue我想对包含日期时间格式的...
('d',None,None,None,None,None,None))# zip(*)返回矩阵,与zip作用相反k =zip(*cursor.description)# for i in k:# print(i)# 直接使用k[0]会报错,zip对象不支持'zip' object is not subscriptable,需要借助list包装list(k)[0] ('a','b','c','d') ...
'NoneType' object is not subscriptable#783 Closed monkeydustcommentedDec 13, 2023• edited Getting this as well on query with SmartDatalake object with 2 dataframes df = SmartDatalake([df1, df2], config={"llm": llm, "verbose": True, "save_logs": True}) ...
'year'].astype[int]中使用了[]而不是（）。您应该使用df['year'] = df['year'].astype(int)...
Pandas is a powerful and fast python library mostly used in data science. Installing Pandas in your program is not a difficult task. This article showed you two different ways of installing Pandas. Also, if you do not want to install Pandas library separately still want to use it, the 2 ...
Line: row_c: Series[int] = df.loc[0] raises a run time exception: TypeError: 'type' object is not subscriptable. However the very same code line within the my_func function works correctly: row_d: Series[int] = _df.loc[0] Expected behavior It is sensible that 'Series has an argum...
Pandas-12.选项和设置选项 相关函数 Pandas有五个自定义其行为的函数： get_option(param) 获取当前...