上述代码中,需要将filename.xlsx替换为实际的Excel文件名,将sheetname替换为实际的工作表名。读取的数据将以二维列表的形式存储在data变量中,可以根据需要进行进一步处理。 需要注意的是,openpyxl库只支持xlsx格式的Excel文件,不支持xls格式。如果需要读取xls格式的文件,可以使用第三方库xlrd。
sheet.write(1, 1,"蚂蚁")#最后,将以上操作保存到指定的Excel文件中book.save("name.xls") 二、对Excel文件进行读取操作: #-*- coding:utf-8 -*-__author__='mayi'#How to read from an Excel using xlrd moduleimportxlrd#打开指定路径中的xls文件,得到book对象xls_file ="name.xls"#打开指定文件boo...
df.to_excel('test.xlsx',index=False)# 正确的扩展名“.xlsx” 在这段修正后的代码中,我们简单地将文件扩展名从“.xIsx”更正为“.xlsx”,这样Excel就能够正确识别和打开文件了。 五、注意事项 仔细检查文件扩展名:在保存或导出Excel文件时,务必确保文件扩展名是正确的。Excel文件的常见扩展名包括“.xls”和...
Library to create spreadsheet files compatible with MS Excel 97/2000/XP/2003 XLS files, on any platform, with Python 2.6, 2.6, 3.3+ This is a library for developers to use to generate spreadsheet files compatible with Microsoft Excel versions 95 to 2003. 翻译过来总结就是: xlwt支持的excel版本...
Theopenpyxlis a Python library to read and write Excel 2010 xlsx/xlsm/xltx/xltm files. Excel xlsx In this article we work with xlsx files. The xlsx is a file extension for an open XML spreadsheet file format used by Microsoft Excel. The xlsm files support macros. The xls format is a ...
To compare ways to read Excel files with Python, we first need to establish what to measure, and how. We start by creating a 25MB Excel file containing 500K rows with various column types: Excel file Excel supports both the xls and the xlsx file formats. We'll use the newer format xls...
python读取csv文件xls文件 import os DATADIR = "" DATAFILE = "beatles-diskography.csv" def parse_file(datafile): data = [] with open(datafile, "r") as ff: header= ff.readline().split(",") counter = 0 for line in ff: if counter == 10:...
While older versions used binary .xls files, Excel 2007 introduced the new XML-based .xlsx file. You can read and write Excel files in pandas, similar to CSV files. However, you’ll need to install the following Python packages first:xlwt to write to .xls files openpyxl or XlsxWriter to...
workbook.save('grade.xls') 4.使用excel对数据进行处理的缺点 只能一行一行的读出和写入,且矩阵形式只可以存放相同类型的数据,效率不高。 二、对csv文件的处理 1.读取csv文件并将其内容转化为DataFrame形式 importpandasaspd df=pd.read_csv('to_df.csv')#,nrows=6)nrows=6表示只读取前六行数据 print(df)...
# 读取整个Excel文件 df = pd.read_excel('data.xlsx', sheet_name='Sheet1') # 读取指定范围 df = pd.read_excel('data.xlsx', sheet_name='Sheet1', usecols='A:C', nrows=10) # 读取多个工作表 with pd.ExcelFile('data.xlsx') as xls: df1 = pd.read_excel(xls, 'Sheet1') df2 = pd...