[英]Writing multiple pandas dataframes to multiple excel worksheets
我希望代码通过循环运行 12345,将其输入到工作表中,然后从 54321 开始并执行相同的操作,除了将数据帧输入到新工作表但在同一个工作簿中。 下面是我的代码。
workbook = xlsxwriter.Workbook('Renewals.xlsx')
groups = ['12345', '54321']
for x in groups:
(Do a bunch of data manipulation and get pandas df called renewals)
writer = pd.ExcelWriter('Renewals.xlsx', engine='xlsxwriter')
worksheet = workbook.add_worksheet(str(x))
renewals.to_excel(writer, sheet_name=str(x))
当它运行时,我只剩下一个只有 1 个工作表 (54321) 的工作簿。
尝试这样的事情:
import pandas as pd
#initialze the excel writer
writer = pd.ExcelWriter('MyFile.xlsx', engine='xlsxwriter')
#store your dataframes in a dict, where the key is the sheet name you want
frames = {'sheetName_1': dataframe1, 'sheetName_2': dataframe2,
'sheetName_3': dataframe3}
#now loop thru and put each on a specific sheet
for sheet, frame in frames.iteritems(): # .use .items for python 3.X
frame.to_excel(writer, sheet_name = sheet)
#critical last step
writer.save()
基于已接受的答案,您可以找到工作表名称如果包含无效字符或太长会导致保存失败的情况。 如果您使用工作表名称的分组值作为示例,则可能会发生这种情况。 一个辅助函数可以解决这个问题并为您省去一些痛苦。
def clean_sheet_name(sheet):
"""Clean sheet name so that it is a valid Excel sheet name.
Removes characters in []:*?/\ and limits to 30 characters.
Args:
sheet (str): Name to use for sheet.
Returns:
cleaned_sheet (str): Cleaned sheet name.
"""
if sheet in (None, ''):
return sheet
clean_sheet = sheet.translate({ord(i): None for i in '[]:*?/\\'})
if len(clean_sheet) > 30: # Set value you feel is appropriate
clean_sheet = clean_sheet[:30]
return clean_sheet
然后在写入 Excel 之前添加对辅助函数的调用。
for sheet, frame in groups.items():
# Clean sheet name for length and invalid characters
sheet = clean_sheet_name(sheet)
frame.to_excel(writer, sheet_name = sheet, index=False)
writer.save()
import pandas as pd
writer = pd.ExcelWriter('Renewals.xlsx', engine='xlsxwriter')
renewals.to_excel(writer, sheet_name=groups[0])
renewals.to_excel(writer, sheet_name=groups[1])
writer.save()
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