9

我有一个 *.xlsm 文件，里面有 20 张纸。我想将几张纸单独保存为 *.csv （格式丢失很好）。已经尝试过 xlrd-xlwt 和 win32com 库，但无法通过。任何人都可以提供一个在 Python 中进行上述处理的代码片段吗？我有其他 python 依赖项，所以没有其他语言可以工作。谢谢

4

3 回答 3

6

xlrd也应该在 xlsm 文件上正常工作。我用一个随机的 xlsm 文件测试了代码，它运行良好。

import csv
import xlrd

workbook = xlrd.open_workbook('test.xlsx')
for sheet in workbook.sheets():
    with open('{}.csv'.format(sheet.name), 'wb') as f:
        writer = csv.writer(f)
        writer.writerows(sheet.row_values(row) for row in range(sheet.nrows))

如果您遇到编码问题，请尝试以下代码：

import csv
import xlrd

workbook = xlrd.open_workbook('test.xlsm')
for sheet in workbook.sheets():
    if sheet.name == "Sheet_name_from_xlsm_file":
        with open('{}.csv'.format(sheet.name), 'wb') as f:
            writer = csv.writer(f)
            for row in range(sheet.nrows):
                out = []
                for cell in sheet.row_values(row):
                    try:
                        out.append(cell.encode('utf8'))
                    except:
                        out.append(cell)
                writer.writerow(out)
于 2014-05-09T00:46:04.533 回答
3 
import pandas as pd

import xlrd

import openpyxl #required for xlrd 2.0.1 and higher

df = pd.read_excel('your_excel_file_name.xlsm', sheet_name='your_sheet_name')
df.to_csv('your_new_name.csv')
于 2021-06-04T17:26:31.887 回答
3

你可以用 pandas 轻松做到这一点

  1. 按照以下步骤安装pandas和xlrd依赖项

    • pip3 安装熊猫
    • pip3 install xlrd（熊猫需要）

  2. 现在只需使用read_excel读取 xlsm 文件。这是一个演示：-

import pandas as pd

# YOU MUST PUT sheet_name=None TO READ ALL CSV FILES IN YOUR XLSM FILE
df = pd.read_excel('YourFile.xlsm', sheet_name=None)

# prints all sheets
print(df)

# prints all sheets name in an ordered dictionary
print(df.keys())

# prints first sheet name or any sheet if you know it's index
first_sheet_name = list(df.keys())[0]
print(first_sheet_name)

# prints first sheet or any sheet if know it's name
print(df[first_sheet_name])

# export first sheet to file
df[first_sheet_name].to_csv('FirstSheet.csv')

# export all sheets 
for sheet_name in list(df.keys()):
   df[sheet_name].to_csv(sheet_name + 'Sheet.csv')


# USE IT IN MULTIPLE WAYS #
于 2020-04-17T09:05:28.453 回答