"Manager"],]headers=["Name","Age","Occupation"]#max_lengths=[max(len(str(item))foritemincolumn)forcolumninzip(*data,headers)]table=""# 打印表头table+="|".join(format(header,f"^{max_lengths[i]}")fori,headerinenumerate(headers))table+="\n"table+="|".join("-"*(max_length+2)f...
table_format = [['{:^{}}'] +len(header) * [top_format]] +\len(matrix) * [[left_format] +len(header) * [cell_format]]print(table_format) col_widths = [max(len(format.format(cell,0))forformat, cellinzip(col_format, col))forcol_format, colinzip(zip(*table_format),zip(*tab...
table = data.sheets()[0]#通过索引顺序获取table = data.sheet_by_index(sheet_indx)#通过索引顺序获取table = data.sheet_by_name(sheet_name)#通过名称获取# 以上三个函数都会返回一个xlrd.sheet.Sheet()对象names = data.sheet_names()#返回book中所有工作表的名字data.sheet_loaded(sheet_name or indx...
max_lengths = [max(len(str(item)) for item in column) for column in zip(*data, headers)] table = "" # 打印表头 table += "|".join(format(header, f"^{max_lengths[i]}") for i, header in enumerate(headers)) table += "\n" table += "|".join("-" * (max_length + 2) f...
data = xlrd.open_workbook(filename)#文件名以及路径,如果路径或者文件名有中文给前面加一个 r 常用的函数 excel中最重要的方法就是book和sheet的操作 (1)获取book(excel文件)中一个工作表 table = data.sheets()[0] #通过索引顺序获取 table = data.sheet_by_index(sheet_indx) #通过索引顺序获取 table...
编写一个名为printTable()的函数,它接受字符串的列表的列表,将它显示在组织良好的表格中,每列右对齐。假定所有内层列表都包含同样数目的字符串 输入: tableData= [[‘apple',‘orange',‘cherry',‘banana'], [‘Alice',‘Bob',‘Cathy',‘David'], ...
try:insert_column(table,5,data_to_insert)# 假设插入超出范围的列exceptExceptionase:print(f"错误:{e}")# 捕获异常并打印 1. 2. 3. 4. 常见的错误可能包括: IndexError: 列索引超出范围。 TypeError: 数据类型不符合要求。 你可以使用思维导图协助快速排查: ...
tableformatter is a tabular data formatter allowing printing from both arbitrary tuples of strings or object inspection. It converts your data into a string form suitable for pretty-printing as a table. The goal is to make it quick and easy for developers to display tabular data in an aesthe...
插入公式到单元格一、利用Python的pandas库importpandasaspd# 创建一个数据表data={'Name':['Zhangsan'...
__table_args__ = {'extend_existing': True} id = Column(Integer, primary_key=True, autoincrement=True) name = Column(VARCHAR) age = Column(Integer) def db_get(): Session = sessionmaker(bind=engine) session = Session() return session def db_create(): print(User.__table__) # 判断...