如何在python中使用panda在现有excel工作表中追加列

2024-05-13 00:01:50 发布

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import pandas as pd

from pandas import ExcelWriter

trans=pd.read_csv('HMIS-DICR-2011-12-Manipur-Bishnupur.csv')
df=trans[["April 10-11","May 10-11","June 10-11","July 10-11","August 10-11","September 10-11","October 10-11","November 10-11","December 10-11","January 10-11","February 10-11","March 10-11","April 11-12","May 11-12","June 11-12","July 11-12","August 11-12","September 11-12","October 11-12","November 11-12","December 11-12","January 11-12","February 11-12","March 11-12"]]
writer1 = ExcelWriter('manipur1.xlsx')
df.to_excel(writer1,'Sheet1',index=False)
writer1.save()

此代码成功地将数据写入工作表1,但如何将来自不同excel文件(如下所述)的另一数据框(df)的数据追加到现有工作表(sheet1)“manipur1”excel文件中

例如: 我的数据帧如下:

 trans=pd.read_csv('HMIS-DICR-2013-2014-Manipur-Bishnupur.csv')
    df=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"]]

Tags: csvdftransjulymaymarchaugustjune
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1楼 · 发布于 2024-05-13 00:01:50

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。

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