The csv module can export in a format that can be read by nearly all spreadsheet programs with little difficulty. It's not really clear from your question what you want to put in such a file, though.
import csv
outfile = open('output.csv', 'wb')
# Done for example, a list will need to be created for each row of your spreadsheet.
filecontents = [marks,40,66,34,88,70]
fileWriter = csv.writer(outfile, dialect='excel')
fileWriter.writerow(filecontents)
outfile.close()
当然，还会有额外的读取文件和循环将多行写入 csv 文件，这只是一个基本示例。
The csv module can do your spreadsheet lifting.
Assuming you have the file contents read in, here is the relevant spreadsheet creation:
import csv
outfile = open('output.csv', 'wb')
# Done for example, a list will need to be created for each row of your spreadsheet.
filecontents = [marks,40,66,34,88,70]
fileWriter = csv.writer(outfile, dialect='excel')
fileWriter.writerow(filecontents)
outfile.close()
Of course, there will be additional reading files and loops to write more than one row to the csv file, this is just a basic example.
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csv模块可以以可读的格式导出几乎所有电子表格程序都可以轻松实现。不过，从您的问题中并不清楚您想要将什么内容放入这样的文件中。The
csvmodule can export in a format that can be read by nearly all spreadsheet programs with little difficulty. It's not really clear from your question what you want to put in such a file, though.http://sourceforge.net/projects/pyexcelerator/
可用于轻松创建 Excel 文件。查看示例文件夹中的示例
在源代码树中。
http://sourceforge.net/projects/pyexcelerator/
can be used to create Excel files easily. Check out the examples from the examples folder
within the source tree.
我个人的喜好：
用于写入 Excel 文件
用于读取 Excel 文件
就到这里。
这使用 pypi。所以就更好了！
My personal preference:
For writing Excel Files
For Reading Excel Files
Just go here.
This uses pypi. So it's even better!
csv 模块可以提升您的电子表格。
假设您已读入文件内容，以下是相关电子表格的创建：
当然，还会有额外的读取文件和循环将多行写入 csv 文件，这只是一个基本示例。
The csv module can do your spreadsheet lifting.
Assuming you have the file contents read in, here is the relevant spreadsheet creation:
Of course, there will be additional reading files and loops to write more than one row to the csv file, this is just a basic example.