我有一个* .xlsm文件,里面有20张。 我希望单独保存几张* .csv(格式化损失很好)。 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代码片段,它在Python中进行上述处理吗?我有其他python依赖项,所以没有其他语言可以工作。 感谢
答案 0 :(得分:4)
xlrd也可以在xlsm文件上正常工作。我用随机的xlsm文件测试了代码,它运行得很好。
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)
答案 1 :(得分:2)
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')
答案 2 :(得分:1)
安装熊猫和 xlrd 依赖项
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 #
答案 3 :(得分:1)
import pandas as pd
# YOU MUST PUT sheet_name=None
df = pd.read_excel('YourFile.xlsm', sheet_name=None)
# prints all sheets
print(df)