在将现有数据加载到pandas中、追加新数据并再次保存连接的数据框时,只能将新数据追加到现有的excel文件。
若要保留应保持不变的现有工作表,需要遍历整个工作簿并处理每个工作表。要更改和追加的工作表在to_update字典中定义。# get data to be appended
trans=pd.read_csv('HMIS-DICR-2011-12-Manipur-Bishnupur.csv')
df_append = trans[["April 12-13","May 12-13","June 12-13","July 12-13","August 12-13","September 12-13","October 12-13","November 12-13","December 12-13","January 12-13","February 12-13","March 12-13","April 13-14","May 13-14","June 13-14","July 13-14","August 13-14","September 13-14","October 13-14","November 13-14","December 13-14","January 13-14","February 13-14","March 13-14"]]
# define what sheets to update
to_update = {"Sheet1": df_append}
# load existing data
file_name = 'manipur1.xlsx'
excel_reader = pd.ExcelFile(file_name)
# write and update
excel_writer = pd.ExcelWriter(file_name)
for sheet in excel_reader.sheet_names:
sheet_df = excel_reader.parse(sheet)
append_df = to_update.get(sheet)
if append_df is not None:
sheet_df = pd.concat([sheet_df, append_df], axis=1)
sheet_df.to_excel(excel_writer, sheet, index=False)
excel_writer.save()
但是,现有excel中的任何布局/格式都将丢失。如果要保留格式,可以使用openpyxl,但这比较复杂。